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Social and behavioral determinants of health in the era of artificial intelligence with electronic health records: A scoping review [article]

Anusha Bompelli, Yanshan Wang, Ruyuan Wan, Esha Singh, Yuqi Zhou, Lin Xu, David Oniani, Bhavani Singh Agnikula Kshatriya, Joyce E. Balls-Berry, Rui Zhang
<span title="2021-06-13">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
unlocks unstructured data, and aids in the resolution of unstructured data-related issues.  ...  Results: Our synthesis was driven by an analysis of SBDH categories, the relationship between SBDH and healthcare-related statuses, and several NLP approaches for extracting SDOH from clinical literature  ...  Marital Status 7 Social and behavioral determinants of health 4 Social Environment 3 Social Behaviour 3 Table 3 . 3 Number of articles for various healthcare related statuses.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.04216v2">arXiv:2102.04216v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/g2ghcj7q7rbvfg3aj5lh2q2txy">fatcat:g2ghcj7q7rbvfg3aj5lh2q2txy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210616040204/https://arxiv.org/ftp/arxiv/papers/2102/2102.04216.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/93/61/93615286708cb9c78cf24fe6125a3468fc0cba4d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.04216v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Social and Behavioral Determinants of Health in the Era of Artificial Intelligence with Electronic Health Records: A Scoping Review

Anusha Bompelli, Yanshan Wang, Ruyuan Wan, Esha Singh, Yuqi Zhou, Lin Xu, David Oniani, Bhavani Singh Agnikula Kshatriya, Joyce (Joy) E. Balls-Berry, Rui Zhang
<span title="2021-08-24">2021</span> <i title="American Association for the Advancement of Science (AAAS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lrzj2y4osvcbvdtsltx6elkmuq" style="color: black;">Health Data Science</a> </i> &nbsp;
, and aids in the resolution of unstructured data-related issues.  ...  Using NLP technology to support the extraction of SBDH and other clinical ideas simplifies the identification and extraction of essential concepts from clinical data, efficiently unlocks unstructured data  ...  Overall, 40.5% of the reviewed studies used structured data, 29.1% used unstructured data, and 30.4% used both structured and unstructured data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.34133/2021/9759016">doi:10.34133/2021/9759016</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rcyzklhrtbfene3zxs5iikk3xu">fatcat:rcyzklhrtbfene3zxs5iikk3xu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210831155845/https://downloads.spj.sciencemag.org/hds/2021/9759016.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c7/f1/c7f1005c75dcbd83bf00ba19b21fca75315c123a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.34133/2021/9759016"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Measuring the quality and completeness of medication-related information derived from hospital electronic health records database

Monira Alwhaibi, Bander Balkhi, Thamir M. Alshammari, Nasser AlQahtani, Mansour A. Mahmoud, Mansour Almetwazi, Sondus Ata, Mada Basyoni, Tariq Alhawassi
<span title="2019-01-17">2019</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a4myfwkj7fh5nndlscu5nk6wvy" style="color: black;">Saudi Pharmaceutical Journal</a> </i> &nbsp;
The study found that 89.9% of the patients had a complete data (i.e., age, gender, marital status, nationality, encounter type, and clinical diagnosis).  ...  Electronic Health Records (EHRs) database is a great source for pharmacoepidemiological research as thousands of patients' clinical and medication information is stored in the database.  ...  Acknowledgment The project was fully supported financially by the Vice Deanship of Research Chairs, King Saud University Riyadh, Saudi Arabia.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jsps.2019.01.013">doi:10.1016/j.jsps.2019.01.013</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31061618">pmid:31061618</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6488812/">pmcid:PMC6488812</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c2rkute4jba2vigxpml5mstkpy">fatcat:c2rkute4jba2vigxpml5mstkpy</a> </span>
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The Camden & Islington Research Database: Using electronic mental health records for research

Nomi Werbeloff, David P. J. Osborn, Rashmi Patel, Matthew Taylor, Robert Stewart, Matthew Broadbent, Joseph F. Hayes, Sinan Guloksuz
<span title="2018-01-29">2018</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s3gm7274mfe6fcs7e3jterqlri" style="color: black;">PLoS ONE</a> </i> &nbsp;
information from a large UK provider of secondary mental healthcare, and demonstrate its capabilities to answer a clinical research question regarding time to diagnosis and treatment of bipolar disorder  ...  The characteristics of the patient population are compared to those of the catchment area, of London, and of England as a whole.  ...  The CRIS tool, developed by SLAM BRC to extract information from their bespoke electronic Patient Journey System (PJS), consists of a series of data-processing pipelines which both structure and de-identify  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0190703">doi:10.1371/journal.pone.0190703</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29377897">pmid:29377897</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5788349/">pmcid:PMC5788349</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l5gh5pg5uzegtb4yobg3ook3f4">fatcat:l5gh5pg5uzegtb4yobg3ook3f4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321180612/https://kclpure.kcl.ac.uk/portal/files/86555182/The_Camden_Islington_WERBELOFF_Published29January2018_GOLD_VoR_CC_BY_.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fa/40/fa40c686a90b6d36c9973ccd6054f028de61f711.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0190703"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5788349" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Unlocking the Potential of Electronic Health Records for Health Research

Seungwon Lee, Yuan Xu, Adam G D'Souza, Elliot A Martin, Chelsea Doktorchik, Zilong Zhang, Hude Quan
<span title="2020-01-30">2020</span> <i title="Swansea University"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gd7dmrvl25f6xmsg5duxv6vqsu" style="color: black;">International Journal of Population Data Science</a> </i> &nbsp;
EHR data elements can be of many types, which can be categorized as structured, unstructured free-text, and imaging data.  ...  EHR systems have two components: the front end, where the data is entered by healthcare workers including physicians and nurses, and the back-end electronic data warehouse where the data is stored in a  ...  Statement on conflicts of Interest All authors report no conflicts of interest relevant to this article Ethics Statement This article is based on data from human subjects and no animal subjects.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.23889/ijpds.v5i1.1123">doi:10.23889/ijpds.v5i1.1123</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32935049">pmid:32935049</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7473254/">pmcid:PMC7473254</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3cpwcq5wrvfermwz3kk2yblf5a">fatcat:3cpwcq5wrvfermwz3kk2yblf5a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200209063817/https://ijpds.org/article/download/1123/2482" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9e/17/9e17c9d04eba7b020011ff58da1d624c02555f42.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.23889/ijpds.v5i1.1123"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473254" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

What proportion of patients with psychosis is willing to take part in research? A mental health electronic case register analysis

Rashmi Patel, Sherifat Oduola, Felicity Callard, Til Wykes, Matthew Broadbent, Robert Stewart, Thomas K J Craig, Philip McGuire
<span title="2017-03-09">2017</span> <i title="BMJ"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cadiaxy7y5alle7oylyd7rqmnu" style="color: black;">BMJ Open</a> </i> &nbsp;
We examined this issue in a large sample of patients with psychosis.  ...  The proportion of people with mental health disorders who participate in clinical research studies is much smaller than for those with physical health disorders.  ...  Data sharing statement The data accessed by CRIS remain within an NHS firewall and governance is provided by a patient-led oversight committee.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1136/bmjopen-2016-013113">doi:10.1136/bmjopen-2016-013113</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/28279995">pmid:28279995</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5353309/">pmcid:PMC5353309</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lhjjv63q4jgkda3q7hn7lq6b4i">fatcat:lhjjv63q4jgkda3q7hn7lq6b4i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190228101236/http://pdfs.semanticscholar.org/9066/7ceb8635144d01d07c2ba97247d4c032be42.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/90/66/90667ceb8635144d01d07c2ba97247d4c032be42.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1136/bmjopen-2016-013113"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> bmj.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5353309" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Natural language processing and machine learning of electronic health records for prediction of first-time suicide attempts

Fuchiang R Tsui, Lingyun Shi, Victor Ruiz, Neal D Ryan, Candice Biernesser, Satish Iyengar, Colin G Walsh, David A Brent
<span title="2021-01-01">2021</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ytu3lvo4xfephcw5hv4cesfdmy" style="color: black;">JAMIA Open</a> </i> &nbsp;
structured electronic health record (EHR) data.  ...  Using both unstructured and structured data resulted in significantly greater accuracy compared to structured data alone (area-under-the-curve [AUC]: 0.932 vs. 0.901 P &lt; .001).  ...  1% and statistically significant odds ratios (i.e., 95% CI that excluded 1.0): one risk factor for suicide attempt (divorced marital status) and three Full-feature (including structured and unstructured  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/jamiaopen/ooab011">doi:10.1093/jamiaopen/ooab011</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33758800">pmid:33758800</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7966858/">pmcid:PMC7966858</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3njlbxofvngkrevtxfvrgfp7ou">fatcat:3njlbxofvngkrevtxfvrgfp7ou</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210330191705/https://watermark.silverchair.com/ooab011.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAq4wggKqBgkqhkiG9w0BBwagggKbMIIClwIBADCCApAGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMvza_82mB-H475Ud3AgEQgIICYZTGr4Dqo0SngyEsOtUmkvNnFc9OPKpoCUQWtv4dIoAmVnDnyWWJMXVrpEzoNDNjiKzBLMiOLWZhuKSZdGNMS42k491MbjoFEvOOGo94n-s2joLd7RMSPn_5A6Mj_PFzYRaZugk77WjMTUts_PUlMiBXq9idf4gzJmZaG2-rQKp577X4F-giGISlHVqjbWPBmievJHpJvrsk8gP4kI1JMCrI9zFiRSvWUU21OCxChgutudnN5MPlnUCAr6KPOQR10yhTNfusAMLEXQpX1s2xvkNB-ONkx0DMwCcEZ2MKMrmB6xH7ie9JeYn4rUn0_LvYNnSTIqv33w4_HagfaTmMgKhRq6tk-alP7DmsxbK8fit_sJFGRZ0kTd3guR4kuLjcpMEkMderjmmskdxy5hxceiVq_TN88MfCABgN866mXHTFhOpizOZUbvfzuGmhNaJMQybG48iZAo6BixfqQ-eY6PpyXEVWK6ttbKHOnBPUFLQVBmT8D0SjCtESGSfaoBHJ7d6VH0bb_TgE7FZwnqMy18I9kG3FypR6PVM3oQsdtgQYa9kmXAr-ifXDPpsyU2ggcNbX_QbJTNv85g_K6BOR1cVOADowmLGVnirVsukXeZsApL6PaBX9Iin2UABSun44KIBiC5mcfoQjNWhnWbB9Ih224465CTT5exs1ynfnkbirG4srAoR5mJI7Cfvn6w5yU9pqtwHUsFpxj9pX1VE7PjJP5QBLfgkt9R7mCWZ8GBJxFBo1Ag6wz7RQ5ThqauqqDTLQv8CJdOvoh5oOHg7-ZjoWFsq578U9nsJLQUg24kG0tw" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/64/28/6428ccc653b2e7351be0b560fd58a89ab0f82074.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/jamiaopen/ooab011"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> oup.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7966858" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Delays before Diagnosis and Initiation of Treatment in Patients Presenting to Mental Health Services with Bipolar Disorder

Rashmi Patel, Hitesh Shetty, Richard Jackson, Matthew Broadbent, Robert Stewart, Jane Boydell, Philip McGuire, Matthew Taylor, Gabriel Alejandro de Erausquin
<span title="2015-05-20">2015</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s3gm7274mfe6fcs7e3jterqlri" style="color: black;">PLoS ONE</a> </i> &nbsp;
Method Retrospective cohort study using anonymised electronic mental health record data from the South London and Maudsley NHS Foundation Trust (SLaM) Biomedical Research Centre (BRC) Case Register on  ...  The following predictor variables were analysed in a multivariable Cox regression analysis: age, gender, ethnicity, compulsory admission to hospital under the UK Mental Health Act, marital status and other  ...  Although it was possible to analyse data on age, gender, ethnicity and marital status in our study, it was not possible to obtain data on other factors from routinely recorded electronic health records  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0126530">doi:10.1371/journal.pone.0126530</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/25992560">pmid:25992560</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4439113/">pmcid:PMC4439113</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/odj2ifossbcrlb5eqvtimmoffu">fatcat:odj2ifossbcrlb5eqvtimmoffu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191023094710/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC4439113&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a3/0c/a30cbe7b3a0480d7b69e26a35642a886a7577a50.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0126530"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4439113" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Identifying urban built environment factors in pregnancy care and maternal mental health outcomes

Yiye Zhang, Mohammad Tayarani, Shuojia Wang, Yifan Liu, Mohit Sharma, Rochelle Joly, Arindam RoyChoudhury, Alison Hermann, Oliver H. Gao, Jyotishman Pathak
<span title="2021-09-04">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rlu7ebtfu5fgdc6tlyujckpanq" style="color: black;">BMC Pregnancy and Childbirth</a> </i> &nbsp;
Electronic health records (EHR) data of pregnant women (n = 8,949) who had live delivery at an urban academic medical center from 2015 to 2017 were included in the study.  ...  , and lower retail floor ratios after adjusting for age, neighborhood average education level, marital status, and income inequality.  ...  Marital status was defined as single (single, divorced, widowed, unknown), and married, as extracted from unstructured clinical notes using regular expression.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12884-021-04056-1">doi:10.1186/s12884-021-04056-1</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34481472">pmid:34481472</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8417675/">pmcid:PMC8417675</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mnpdmho4bfeqxow5ojcq4q3f2u">fatcat:mnpdmho4bfeqxow5ojcq4q3f2u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210909071431/https://bmcpregnancychildbirth.biomedcentral.com/track/pdf/10.1186/s12884-021-04056-1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/77/3d/773d908a7cf6f30be956d3354918a43bb27de4dd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12884-021-04056-1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8417675" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Mood instability is a common feature of mental health disorders and is associated with poor clinical outcomes

R. Patel, T. Lloyd, R. Jackson, M. Ball, H. Shetty, M. Broadbent, J. R. Geddes, R. Stewart, P. McGuire, M. Taylor
<span title="2015-05-21">2015</span> <i title="BMJ"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cadiaxy7y5alle7oylyd7rqmnu" style="color: black;">BMJ Open</a> </i> &nbsp;
The objective of this study was to assess the impact of mood instability on clinical outcomes in a large sample of people receiving secondary mental healthcare.  ...  Design: Observational study using an anonymised electronic health record case register.  ...  The SLaM BRC Case Register extracts anonymised clinical data from ePJS including structured fields (for demographic information) and de-identified unstructured free text fields from case notes and correspondence  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1136/bmjopen-2014-007504">doi:10.1136/bmjopen-2014-007504</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/25998036">pmid:25998036</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4452754/">pmcid:PMC4452754</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bifdw4xgjffg5lb2ssikgmcfsm">fatcat:bifdw4xgjffg5lb2ssikgmcfsm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200124042717/https://bmjopen.bmj.com/content/bmjopen/5/5/e007504.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fe/ee/feee792201826de0f9daee159fa8975aec08b6f8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1136/bmjopen-2014-007504"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> bmj.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4452754" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data

Sara Bersche Golas, Takuma Shibahara, Stephen Agboola, Hiroko Otaki, Jumpei Sato, Tatsuya Nakae, Toru Hisamitsu, Go Kojima, Jennifer Felsted, Sujay Kakarmath, Joseph Kvedar, Kamal Jethwani
<span title="2018-06-22">2018</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bnylrk2y7bfnrn7u2f2vjkx7ta" style="color: black;">BMC Medical Informatics and Decision Making</a> </i> &nbsp;
Advances in big data solutions allow for storage, management, and mining of large volumes of structured and semi-structured data, such as complex healthcare data.  ...  Methods: We used longitudinal electronic medical record data of heart failure patients admitted within a large healthcare system.  ...  Siyu Tian MS, Mursal Atif BA, and Nils Fisher MPH contributed to the deidentification of study data prior to analysis.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12911-018-0620-z">doi:10.1186/s12911-018-0620-z</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29929496">pmid:29929496</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6013959/">pmcid:PMC6013959</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gizs4m755rc4nhws7j75ooupc4">fatcat:gizs4m755rc4nhws7j75ooupc4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190427132207/https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-018-0620-z" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/46/e3/46e34d3f431ab0358cd44beead4daa7c6d6addff.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12911-018-0620-z"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013959" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Translation in Data Mining to Advance Personalized Medicine for Health Equity

Estela A. Estape, Mary Helen Mays, Elizabeth A. Sternke
<span title="">2016</span> <i title="Scientific Research Publishing, Inc,"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gjuorwt6qfc7dmtf5avb7t4wee" style="color: black;">Intelligent Information Management</a> </i> &nbsp;
Today's healthcare workforce is faced with the availability of massive amounts of patient-and disease-related data.  ...  Designing preventive and therapeutic interventions for those patients who will benefit most while minimizing side effects and controlling healthcare costs requires bringing diverse data sources together  ...  Its contents are solely the responsibility of authors and do not necessarily represent the official view of NIH.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4236/iim.2016.81002">doi:10.4236/iim.2016.81002</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27195185">pmid:27195185</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4868394/">pmcid:PMC4868394</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/x6qpepger5ha5ougsfjsxs75ti">fatcat:x6qpepger5ha5ougsfjsxs75ti</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170923032251/http://file.scirp.org/pdf/IIM_2016011315375740.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c0/cd/c0cd8970a90e7998755cbf828baebedf71ed99f0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4236/iim.2016.81002"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4868394" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A Semi-Supervised Machine Learning Approach to Detecting Recurrent Metastatic Breast Cancer Cases Using Linked Cancer Registry and Electronic Medical Record Data [article]

Albee Y. Ling, Allison W. Kurian, Jennifer L. Caswell-Jin, George W. Sledge Jr., Nigam H. Shah, Suzanne R. Tamang
<span title="2019-01-17">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The dataset consisted of structured data and unstructured free-text clinical notes from EMR, linked to CCR, a component of the Surveillance, Epidemiology and End Results (SEER) database.  ...  This approach enables population-based research on how patients die from cancer and may identify novel predictors of cancer recurrence.  ...  Acknowledgements The authors gratefully acknowledge research support from the Breast  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1901.05958v1">arXiv:1901.05958v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k5etdbdjmrezher346hngsisze">fatcat:k5etdbdjmrezher346hngsisze</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200831034005/https://arxiv.org/ftp/arxiv/papers/1901/1901.05958.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fb/47/fb470ef2fe032607ebb8b3337f8e79b4588733f8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1901.05958v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing

Qiu-Yue Zhong, Elizabeth W. Karlson, Bizu Gelaye, Sean Finan, Paul Avillach, Jordan W. Smoller, Tianxi Cai, Michelle A. Williams
<span title="2018-05-29">2018</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bnylrk2y7bfnrn7u2f2vjkx7ta" style="color: black;">BMC Medical Informatics and Decision Making</a> </i> &nbsp;
We examined the comparative performance of structured, diagnostic codes vs. natural language processing (NLP) of unstructured text for screening suicidal behavior among pregnant women in electronic medical  ...  Methods: Women aged 10-64 years with at least one diagnostic code related to pregnancy or delivery (N = 275,843) from Partners HealthCare were included as our "datamart."  ...  Chan School of Public Health (Protocol We extracted data from the Partners HealthCare System Research Patient Data Registry (RPDR).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12911-018-0617-7">doi:10.1186/s12911-018-0617-7</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29843698">pmid:29843698</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5975502/">pmcid:PMC5975502</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rmf64vitmzhtznnncyeqw4bwz4">fatcat:rmf64vitmzhtznnncyeqw4bwz4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190223161109/http://pdfs.semanticscholar.org/47ba/5ed97f588b014d27a9e97b3b255b4438e874.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/47/ba/47ba5ed97f588b014d27a9e97b3b255b4438e874.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12911-018-0617-7"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5975502" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Severe mental illness diagnosis in English general hospitals 2006-2017: A registry linkage study

Hassan Mansour, Christoph Mueller, Katrina A S Davis, Alexandra Burton, Hitesh Shetty, Matthew Hotopf, David Osborn, Robert Stewart, Andrew Sommerlad
<span title="2020-09-17">2020</span> <i title="Public Library of Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/iznnn644szdwva7khyxqzc73bi" style="color: black;">PLoS Medicine</a> </i> &nbsp;
We undertook a cohort study of 13,786 adults with SMI diagnosed during 2006-2017, using data from a large secondary mental healthcare database as reference standard, linked to English national records  ...  The main limitation of our study is the potential for misclassification of diagnosis in the reference-standard mental healthcare data.  ...  Participants were identified from diagnoses in structured EHR diagnostic fields or unstructured text.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pmed.1003306">doi:10.1371/journal.pmed.1003306</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32941435">pmid:32941435</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7498001/">pmcid:PMC7498001</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/atxso56fq5bb7nk4gicdmsp6dm">fatcat:atxso56fq5bb7nk4gicdmsp6dm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200929184952/https://journals.plos.org/plosmedicine/article/file?id=10.1371%2Fjournal.pmed.1003306&amp;type=printable" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/52/be/52be11fc4a93dc15ccb3634006a94113767b83b5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pmed.1003306"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498001" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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