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Different Data Mining Approaches Based Medical Text Data
2021
Journal of Healthcare Engineering
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The amount of medical text data is increasing dramatically. Medical text data record the progress of medicine and imply a large amount of medical knowledge. ...
The advantages and shortcomings for each technique compared to different processes of medical text data were analyzed. ...
Roberts and Demner-Fushman [25] manually annotated tags on 468 electronic medical records to generate a corpus, which provided corpus support for medical data mining. e development of NLP technology ...
doi:10.1155/2021/1285167
pmid:34912530
pmcid:PMC8668297
fatcat:sr6zc5lfpvabdfgcd57uif76m4
Decision Support: Time for Collaboration
2011
IMIA Yearbook of Medical Informatics
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selection of articles shows that deci- sion support systems (DSS) are getting better integrated into the electronic health record systems (EHR) and into the clinician's workflow. ...
SummaryTo summarize current outstanding research in the field of decision support.A selection of excellent research articles published in 2010 in the field of computerized clinical decision support systems.This ...
Acknowledgement I greatly acknowledge the support of Martina Hutter and of the reviewers in the selection process of the IMIA Yearbook. ...
doi:10.1055/s-0038-1638746
fatcat:j2jxakrdivb7bfk44esyagfizy
Louhi 2010: Special issue on Text and Data Mining of Health Documents
2011
Journal of Biomedical Semantics
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The papers presented in this supplement focus and reflect on computer use in every-day clinical work in hospitals and clinics such as electronic health record systems, pre-processing for computer aided ...
summaries, clinical coding, computer decision systems, as well as related ethical concerns and security. ...
Acknowledgments We would like to thank Nordforskthe Nordic council, for partly funding this work through HEXAnord-HEalth teXt Analysis network in the Nordic and Baltic countries. ...
doi:10.1186/2041-1480-2-s3-i1
pmid:21992545
pmcid:PMC3194172
fatcat:rtrzzuezrvcqde752glcbk6zky
An integrated electronic medical record system (iEMRS) with decision support capability in medical prescription
2012
Journal of Systems and Information Technology
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Design/methodology/approach: An integrated Electronic Medical Records System (iEMRS) is designed to enhance the decision support quality in prescription. ...
A treatment algorithm, designed in data mining technique, is introduced to improve information management in medical organization by integration of decision support capability and EMRS, and supplement ...
University for providing the financial support for this research work. ...
doi:10.1108/13287261211255347
fatcat:ij7jkrfimbaw5hrkvwvdi7cmwe
Diabetes Risk Data Mining Method Based on Electronic Medical Record Analysis
2021
Journal of Healthcare Engineering
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record analysis, which are used in the research experiment of diabetes risk data mining method based on electronic medical record analysis. ...
Data mining of electronic medical records in the medical field is gradually valued by researchers and has become a major work in the medical field. ...
of electronic medical record workflow simulations originally used to support the implementation of electronic medical records. ...
doi:10.1155/2021/6678526
pmid:33747420
pmcid:PMC7954625
fatcat:7dgrpnjpsjbibm7zfyh7lpxwle
Advanced Use of Electronic Health Records
2015
Nursing Research
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the decision support of nurses and nurse leaders. ...
It is important that we continue to develop these systems to their full capacity in patient care and in research. Nursing notes are a critical part of the electronic health records. ...
the decision support of nurses and nurse leaders. ...
doi:10.1097/nnr.0000000000000129
pmid:26505153
fatcat:lbwq5iq6cbco3di4gf7nulv5ea
Using a Text Mining Approach to Explore the Recording Quality of a Nursing Record System
2018
Journal of Nursing Research
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This study used a text mining method to analyze the quality of a nursing record system to establish an auditing model and associated tools for nursing records, with the ultimate objective of improving ...
SAS Enterprise Guide Version 6.1 and SAS Text Miner Version 13.2 software were used to perform text mining. Nursing experts were invited to examine the electronic nursing records. ...
assistance and support. ...
doi:10.1097/jnr.0000000000000295
pmid:30694223
pmcid:PMC6553963
fatcat:4hs7lzxstvdnxp6flay7ovddgi
Classification of specialities in textual medical reports based on natural language processing and feature selection
2022
Indonesian Journal of Electrical Engineering and Computer Science
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Nowadays, a great deal of detailed information about patients, including disease status, medication history, and side effects, is collected in an electronic format; called an electronic medical record ...
NLP was used as a pre-processing step on a dataset formed of unstructured medical reports. ...
A consecutive series of 5000 medical reports from the electronic medical record (EMR) dataset was evaluated. ...
doi:10.11591/ijeecs.v27.i1.pp163-170
fatcat:b3wk7vmkenc5dnhq3h43uzxhzy
On Direct Comparing of Medical Guidelines with Electronic Health Record
[chapter]
2004
Lecture Notes in Computer Science
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Moreover, a method to compare data items on the input of EHR system with medical guidelines has been developed. ...
Electronic Health Record (EHR) systems are now being developed in many places. ...
Moreover, the availability of an EHR (Electronic Health Record) is a must for using advanced decision support in medicine and health care, including medical guideline support. ...
doi:10.1007/978-3-540-25944-2_147
fatcat:oxvia5nw4vaqtnikwxsuys4l5e
Identifying fall-related injuries: Text mining the electronic medical record
2009
Journal of Special Topics in Information Technology and Management
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This study utilizes data and text mining techniques to investigate if unstructured text-based information included in the electronic medical record can validate and enhance those records in the administrative ...
), conducting chart reviews to construct a "gold standard" dataset, and performing both supervised and unsupervised text mining techniques in comparison with traditional medical chart review. ...
Acknowledgments The authors acknowledge research support of resources and use of facilities provided by the James A. Haley Veterans' Hospital in Tampa, Florida. ...
doi:10.1007/s10799-009-0061-6
fatcat:bq64tpaquvcqbjwf3momg6i3gy
The Role of Open Standard Electronic Health Record in Medical Data Mining
2017
European Journal of Business Management and Research
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The following paper proposes a universal EHR database and medical data mining. The benefits and challenges of implementing a database system is also discussed in the paper. ...
So, the EHR is currently vendor dependent and is not transferrable to another health service provider. The open standard electronic health record makes it public available to both vendor and patient. ...
Some of the common support provided by these decision support systems are shown in figure below.
Fig. 9 . 9 Fig. 9. Common Usage of Decision Support Systems VIII. ...
doi:10.24018/ejbmr.2017.2.2.9
fatcat:dpsj4tt7ibhcdhtuiqtafychwa
Information Extraction from Electronic Medical Records using Natural Language Processing Techniques
2020
Journal of Applied Sciences and Environmental Management
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Keywords: Electronic Medical Record, BioNLP, Latent Dirichlet Allocation ...
This work illustrates the application of NLP techniques to design and implement a Key Information Retrieval System (KIRS framework) using the Latent Dirichlet Allocation algorithm. ...
The hospital records include Hospital Information System (HIS), Electronic Medical Record (EMR), Electronic Patient Record (EPR), medical diagnosis systems as well as medical image systems (Chou et al ...
doi:10.4314/jasem.v24i6.13
fatcat:u6hgdntpezdktfdcj7arbpb7lu
Data Processing and Text Mining Technologies on Electronic Medical Records: A Review
2018
Journal of Healthcare Engineering
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Currently, medical institutes generally use EMR to record patient's condition, including diagnostic information, procedures performed, and treatment results. ...
The task of information extraction for medical texts mainly includes NER (named-entity recognition) and RE (relation extraction). ...
Acknowledgments This work was financially supported by the National Natural Science Foundation of China (Grant no. 61379145) and the Joint Funds of CETC (Grant no. 20166141B08020101). ...
doi:10.1155/2018/4302425
pmid:29849998
pmcid:PMC5911323
fatcat:ndofpdouqzatlnayq6prxcvgdq
The Role of Informatics in Health Care Reform
2012
Academic Radiology
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The American Recovery and Reinvestment Act of 2009 mandates adaptation and "meaningful use " of health information technology. ...
We also discuss informatics related to the increasing imperatives of state and local regulations (such as radiation dose tracking) and quality initiatives. ...
Finally, all the systems described in this article are standalone systems, and it could be a difficult task to integrate them into the electronic medical records. ...
doi:10.1016/j.acra.2012.05.006
pmid:22771052
pmcid:PMC3416921
fatcat:7uetmzc5knhkneiviw4epg5qee
A Survey of Current Work in Medical Text Mining---Data Source Perspective
2017
International Journal of Biomedical Science and Engineering
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Foreign researchers have specific text mining tools, and they use it in the search engine data and electronic medical record. In addition, it is also used to predict side effects between drugs. ...
In China, text mining based on medical literature data occupies a large part. On the one hand, they can monitor the self disclosure of health information. ...
Acknowledgements This work was supported partly by the National Science Foundation of China (No.7140106). ...
doi:10.11648/j.ijbse.20170503.13
fatcat:qtva3la2rzhyhageo3c7so5eou
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