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PubMed-supported clinical term weighting approach for improving inter-patient similarity measure in diagnosis prediction

Lawrence WC Chan, Ying Liu, Tao Chan, Helen KW Law, SC Cesar Wong, Andy PH Yeung, KF Lo, SW Yeung, KY Kwok, William YL Chan, Thomas YH Lau, Chi-Ren Shyu
2015 BMC Medical Informatics and Decision Making  
Conclusions: Our findings suggest that the optimized similarity measure with specific term weighting to EHRs can improve significantly the accuracy for predicting the inter-patient co-occurrence of diagnosis  ...  Equal, generic and specific term weighting approaches were applied to measure the similarity of each pair and their performances for predicting inter-patient co-occurrence of HCC diagnoses were compared  ...  Acknowledgements This research was supported by the RGC General Research Fund "PolyU 5118/11E: Clinical Decision Support using Biomedical Ontology and Literature Supported Patient Similarity for Diagnostic  ... 
doi:10.1186/s12911-015-0166-2 pmid:26032596 pmcid:PMC4450834 fatcat:dkbvrfrtnvbpvllfhyp65a2gfm

Diagnosis support systems for rare diseases: a scoping review

Carole Faviez, Xiaoyi Chen, Nicolas Garcelon, Antoine Neuraz, Bertrand Knebelmann, Rémi Salomon, Stanislas Lyonnet, Sophie Saunier, Anita Burgun
2020 Orphanet Journal of Rare Diseases  
Diagnosis targets varied from 1 rare disease to all rare diseases. Material used for diagnosis support consisted mostly of phenotype concepts, images or fluids.  ...  However, the variability of approaches and evaluation processes complicates the comparison of results.  ...  Acknowledgments The authors acknowledge the ANR for the funding and would like to thank the C'IL-LICO members for their advice for the analysis and interpretation of the results.  ... 
doi:10.1186/s13023-020-01374-z pmid:32299466 pmcid:PMC7164220 fatcat:irqxt4ps45frlp7s6lnzr2g46y

Computer-aided diagnosis of prostate cancer with MRI

Baowei Fei
2017 Current Opinion in Biomedical Engineering  
In order to improve the quantitative assessment of the disease and reduce the reporting time, various computer-aided diagnosis (CAD) systems have been designed to help radiologists identify lesions.  ...  Multi-parametric magnetic resonance imaging (mp-MRI) has an increasingly important role in the diagnosis of prostate cancer.  ...  Acknowledgments This work was partially supported by NIH grants CA156775, CA176684, and CA204254, and by the Georgia Research Alliance Distinguished Scientists Award.  ... 
doi:10.1016/j.cobme.2017.09.009 pmid:29732440 pmcid:PMC5931723 fatcat:sul7nf3gu5cvteroyjk42rziee

Retrieval of diagnostic and treatment studies for clinical use through PubMed and PubMed's Clinical Queries filters

Cynthia Lokker, R Brian Haynes, Nancy L Wilczynski, K Ann McKibbon, Stephen D Walter
2011 JAMIA Journal of the American Medical Informatics Association  
Objective Clinical Queries filters were developed to improve the retrieval of high-quality studies in searches on clinical matters.  ...  Materials and methods Forty practicing physicians, presented with standardized treatment and diagnosis questions and one question of their choosing, entered search terms which were processed in a random  ...  CONCLUSION In this study the use of PubMed Clinical Queries to filter search results improved some search retrieval measures.  ... 
doi:10.1136/amiajnl-2011-000233 pmid:21680559 pmcid:PMC3168323 fatcat:afvpqlutqfcdrepw6cblupa4we

Early Management of Patients With Acute Heart Failure: State of the Art and Future Directions-A Consensus Document from the SAEM/HFSA Acute Heart Failure Working Group

Sean P. Collins, Alan B. Storrow, Phillip D. Levy, Nancy Albert, Javed Butler, Justin A. Ezekowitz, G. Michael Felker, Gregory J. Fermann, Gregg C. Fonarow, Michael M. Givertz, Brian Hiestand, Judd E. Hollander (+7 others)
2014 Academic Emergency Medicine  
$39.2 billion spent on HF care in the US in 2010, inpatient admissions accounted for the single largest proportion.  ...  Emergency providers play a significant role in the management of patients with acute heart failure (AHF).  ...  The most common, and likely least efficient, approach involves intermixing observation patients among the general medical population. 118 While this approach requires the least in terms of infrastructure  ... 
doi:10.1111/acem.12538 pmid:25423908 pmcid:PMC4319710 fatcat:3p257r47dbh3hmqfgx7gmxnigy

Advanced neuroimaging and its role in predicting neurodevelopmental outcomes in very preterm infants

Nehal A. Parikh
2016 Seminars in Perinatology  
Advanced MRI quantitative tools such as brain morphometry, diffusion MRI, magnetic resonance spectroscopy, and functional MRI at term-equivalent age are ideally suited to improve current efforts to predict  ...  A systematic search and review identified 47 published studies of advanced MRI to predict NDI. Diffusion MRI and morphometry studies were the most commonly studied modalities.  ...  Acknowledgments Supported in part by the National Institute of Neurological Disorders and Stroke, United States of NIH Grant R01NS094200-01A1.  ... 
doi:10.1053/j.semperi.2016.09.005 pmid:27863706 pmcid:PMC5951398 fatcat:7s6bzpwbhzbdphfb6vdtkg65l4

Early Management of Patients With Acute Heart Failure: State of the Art and Future Directions. A Consensus Document From the Society for Academic Emergency Medicine/Heart Failure Society of America Acute Heart Failure Working Group

Sean Collins, Alan B. Storrow, Nancy M. Albert, Javed Butler, Justin Ezekowitz, G. Michael Felker, Gregory J. Fermann, Gregg C. Fonarow, Michael M. Givertz, Brian Hiestand, Judd E. Hollander, David E. Lanfear (+6 others)
2015 Journal of Cardiac Failure  
Further, clinical trials must be conducted in the ED in order to improve the evidence base and drive optimal initial therapy for AHF.  ...  Predictive instruments that identify a cohort of patients safe for ED discharge, while simultaneously addressing barriers to successful outpatient management, have the potential to significantly impact  ...  Clinical trials must be conducted in the ED in order to improve the evidence base and drive optimal initial therapy for AHF.  ... 
doi:10.1016/j.cardfail.2014.07.003 pmid:25042620 pmcid:PMC4276508 fatcat:kdhpbnr3mfhtnnqmazkeomktbu

Reliability studies of diagnostic methods in Indian traditional Ayurveda medicine: An overview

VrindaHitendra Kurande, Rasmus Waagepetersen, Egon Toft, Ramjee Prasad
2013 Journal of Ayurveda and Integrative Medicine  
It is a crucial issue in classification (such as prakriti classification), method development (pulse diagnosis), quality assurance for diagnosis and treatment and in the conduct of clinical studies.  ...  Reliability is a quantitative measure of consistency.  ...  The term reliability means "consistency" of a measure. [2] Diagnosis is considered reliable if it gives consistent results under similar conditions.  ... 
doi:10.4103/0975-9476.113867 pmid:23930037 pmcid:PMC3737449 fatcat:2movuwnurfd7lm3dqeitmbwmnu

Prediction of falls using a risk assessment tool in the acute care setting

Alexandra Papaioannou, William Parkinson, Richard Cook, Nicole Ferko, Esther Coker, Jonathan D Adachi
2004 BMC Medicine  
Five patient characteristics found to be risk factors for falls in the British STRATIFY study were tested for predictive validity.  ...  Results: Inter-rater reliability for the weighted risk score indicated very good agreement (interclass correlation coefficient = 0.78).  ...  Acknowledgements We wish to thank Tish Butson and Cathy Reiss from the Hamilton Health Sciences for their assistance in study nurse orientation and co-ordination of the study.  ... 
doi:10.1186/1741-7015-2-1 pmid:14736342 pmcid:PMC333435 fatcat:vecthozvrngixb44rwlqtjfkrq

Deep EHR: Chronic Disease Prediction Using Medical Notes [article]

Jingshu Liu, Zachariah Zhang, Narges Razavian
2018 arXiv   pre-print
Early detection of preventable diseases is important for better disease management, improved inter-ventions, and more efficient health-care resource allocation.  ...  Additionally, we compare differentvisualization methods for medical professionals to interpret model predictions.  ...  For example, the fact that a patient is brought in by their family members isn't coded but can be an indicator of a bad health as well as an existing social support for the patient.  ... 
arXiv:1808.04928v1 fatcat:hlg5zfmhb5hepllmv5aa6v6eaa

Harnessing networks and machine learning in neuropsychiatric care

Eli J Cornblath, David M Lydon-Staley, Danielle S Bassett
2019 Current Opinion in Neurobiology  
Recent progress in identifying illness subtypes and predicting treatment response in neuropsychiatry has been supported by these study designs, along with methods bridging machine learning and network  ...  Ultimately, we propose a general framework for the treatment of neuropsychiatric illness relying on the findings from broad and deep studies combined with basic cognitive and physiologic measurements.  ...  Such efforts will be critical for generating low dimensional representations of clinical symptoms and network measures of brain structure and function that are useful in the diagnosis and sub-diagnosis  ... 
doi:10.1016/j.conb.2018.12.010 pmid:30641443 pmcid:PMC6839408 fatcat:wzxhhmtu4bbotbiv44pps55ciq

Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes

Lena Davidson, Mary Regina Boland
2021 Briefings in Bioinformatics  
We searched English articles on EMBASE, PubMed and SCOPUS. Search terms included ML, AI, pregnancy and informatics.  ...  Efforts to translate AI into clinical care include clinical decision support systems (n = 24) and mobile health applications (n = 9).  ...  Studies aim to predict and classify disease in early pregnancy, improve screenings and provide clinical decision support for disease management.  ... 
doi:10.1093/bib/bbaa369 pmid:33406530 pmcid:PMC8424395 fatcat:rgsf4pdmbvdcdmcwz4zf3hwaca

A review of evidence of health benefit from artificial neural networks in medical intervention

P.J.G. Lisboa
2002 Neural Networks  
This is followed by a survey of published Randomised Controlled Trials and Clinical Trials, leading to recommendations for good practice in the design and evaluation of neural networks for use in medical  ...  The primary source of publications is PUBMED listings under Randomised Controlled Trials and Clinical Trials.  ...  the evidence base for a clinical diagnosis.  ... 
doi:10.1016/s0893-6080(01)00111-3 pmid:11958484 fatcat:oj73bxwth5ft3gd7y2wegr7lbe

The Evolving Role of the Oncologic Neurosurgeon: Looking Beyond Extent of Resection in the Modern Era

Stephen G Bowden, Seunggu Jude Han
2018 Frontiers in Oncology  
Modern tumor neurosurgeons should consider themselves surgical neuro-oncologists, with engagement in translational research essential to furthering the field and improving outlooks for our patients.  ...  The role of neurosurgery in glioma management has been clarified, with a large body of evidence in support of maximal safe resection.  ...  However, the benefits of surgery extend well beyond improving patient outcomes in the short term.  ... 
doi:10.3389/fonc.2018.00406 pmid:30319971 pmcid:PMC6167541 fatcat:gzwtlao75nggvdvr6wcqxe7wki

Pediatric HIV: Progress on Prevention, Treatment, and Cure

Maria H. Kim, Saeed Ahmed, Elaine J. Abrams
2015 Current Pediatrics Reports  
There is an increasing array of treatment options for pediatric patients and reassuring evidence regarding long-term complications of ART.  ...  Better strategies for effective casefinding and engagement in care are urgently needed in addition to an improved understanding of how to retain HIV-positive children and adolescents on treatment.  ...  with the references and Robbie Flick for his assistance in developing Figures 1 and 2.  ... 
doi:10.1007/s40124-015-0087-7 pmid:26709366 pmcid:PMC4687896 fatcat:sszvtsokuzcmfcmckfuicd5y5i
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