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Different Data Mining Approaches Based Medical Text Data

Wenke Xiao, Lijia Jing, Yaxin Xu, Shichao Zheng, Yanxiong Gan, Chuanbiao Wen, Óscar Belmonte Fernández
2021 Journal of Healthcare Engineering  
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

A. Guardia
2011 IMIA Yearbook of Medical Informatics  
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

Hercules Dalianis, Martin Hassel, Sumithra Velupillai
2011 Journal of Biomedical Semantics  
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

S.L. Ting, W.H. Ip, Albert H.C. Tsang, George T.S. Ho
2012 Journal of Systems and Information Technology  
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

Yang Liu, Zhaoxiang Yu, Yunlong Yang, Zhihan Lv
2021 Journal of Healthcare Engineering  
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

Sanna Salanterä
2015 Nursing Research  
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

Hsiu-Mei CHANG, Ean-Weng HUANG, I-Ching HOU, Hsiu-Yun LIU, Fang-Shan LI, Shwu-Fen CHIOU
2018 Journal of Nursing Research  
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

Hasanen Abdul-Jawad Hussain Almuhana, Hawraa Hassan Abbas
2022 Indonesian Journal of Electrical Engineering and Computer Science  
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]

Jana Zvárová, Arnošt Veselý, Petr Hanzliček, Josef Špidlen, David Buchtela
2004 Lecture Notes in Computer Science  
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

Monica Chiarini Tremblay, Donald J. Berndt, Stephen L. Luther, Philip R. Foulis, Dustin D. French
2009 Journal of Special Topics in Information Technology and Management  
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

Rajesh Khanal
2017 European Journal of Business Management and Research  
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

E. Ogbuju, G.N. Obunadike
2020 Journal of Applied Sciences and Environmental Management  
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

Wencheng Sun, Zhiping Cai, Yangyang Li, Fang Liu, Shengqun Fang, Guoyan Wang
2018 Journal of Healthcare Engineering  
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

Yueyi I. Liu, Daniel L. Rubin
2012 Academic Radiology  
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

Li Yanhong
2017 International Journal of Biomedical Science and Engineering  
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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