- The Efficient Ways of Health Promotion Program on Public Health Center Using Data Mining
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Kang SH, Choi SH
- KMID: 2210370
- J Korean Soc Med Inform.
- 2001 Jun;7(2):37-48.
This study provides an application of data mining approach to Health Promotion Program on Public Health Center. We analyed the survey data in health practice. The main results of this... -
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- Data Mining for High Dimensional Data in Drug Discovery and Development
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Lee KR, Park DC, Lin X, Eslava S
- KMID: 2053068
- Genomics Inform.
- 2003 Dec;1(2):65-74.
Data mining differs primarily from traditional data analysis on an important dimension, namely the scale of the data. That is the reason why not only statistical but also computer science... -
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- Text Mining in Biomedical Domain with Emphasis on Document Clustering
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Renganathan V
- KMID: 2403303
- Healthc Inform Res.
- 2017 Jul;23(3):141-146.
- doi: 10.4258/hir.2017.23.3.141
OBJECTIVES: With the exponential increase in the number of articles published every year in the biomedical domain, there is a need to build automated systems to extract unknown information from... -
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- PubMiner: Machine Learning-based Text Mining for Biomedical Information Analysis
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Eom JH, Zhang BT
- KMID: 2166172
- Genomics Inform.
- 2004 Jun;2(2):99-106.
In this paper we introduce PubMiner, an intelligent machine learning based text mining system for mining biological information from the literature. PubMiner employs natural language processing techniques and machine learning... -
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- The Strategic Planning of Hospital Management using Information Technology
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Kim ON, Kang SH
- KMID: 2329804
- J Korean Soc Med Inform.
- 1999 Dec;5(3):181-192.
In the health-care market, the shift from a fee-for-service to a DRG environment has dramatically altered the landscape. To survive in this situation, hospital have to change. Information technology is... -
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- Basic Concepts and Principles of Data Mining in Clinical Practice
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Lee SM, Park RW
- KMID: 2211387
- J Korean Soc Med Inform.
- 2009 Jun;15(2):175-189.
- doi: 10.4258/jksmi.2009.15.2.175
Recently, many hospitals have been adopting clinical data warehouses (CDW) as well as electronic medical records. These new hospital information systems are inevitably introducing very large amounts of clinical data... -
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- Development of Customer Relationship Management System in the Healthcare Domain Using Data Mining
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Lee SY, Chang OB
- KMID: 2330353
- J Korean Soc Med Inform.
- 2004 Sep;10(3):303-310.
OBJECTIVE: To provide medicare services for patients demands satisfyingly, immediate introduction of the Customer Relationship Management(CRM) is raised inevitable. In this paper we proposed that the minimizing the hospital losses... -
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- Study on the Development of Critical Pathway for the Cesarean Section using Data Mining Technique
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Ho SH, Chae YM, Choi MY, Song MR
- KMID: 2330102
- J Korean Soc Med Inform.
- 2002 Jun;8(2):41-50.
The objectives of this study was to discover knowledge in predicting lengths of stay of Cesarean Section by patients characteristics and treatment method using data mining technique and to suggest... -
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- Developing a Statistical Software for Predicting Hospital Bankruptcy using Data Mining Tool
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Chang HJ, Noh MS
- KMID: 2330005
- J Korean Soc Med Inform.
- 2001 Sep;7(3):9-16.
Since the hospital bankruptcy rate is increasing, it has been an important issue to predict the bankruptcy of hospital using the existing hospital management information. Fortunately, the implementation of data... -
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- Data Mining Application for Knowledge Management in Medical Field
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Ho SH, Chae YM, Cho KW, Jee SH, Lee DH
- KMID: 2329803
- J Korean Soc Med Inform.
- 1999 Dec;5(3):169-179.
The purpose of this study are to find useful knowledge through discovering relations and patterns of unknown facts from large data using data mining technique and to introduce a scheme... -
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- Application of Survival Analysis to Data from Discharge Abstract of Medical Record Department: Focused on Readniission
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Choi K, Hong J, Lee J
- KMID: 2329936
- J Korean Soc Med Inform.
- 2000 Dec;6(4):35-43.
Abundant data on patients have been accumulated in hospital since the introduction of the computerized system. Now data mining is required for the survival and growth of hospital. Cases of... -
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- Data Mining Application in Customer Relationship Management for Hospital Inpatients
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Lee EW
- KMID: 2229468
- Healthc Inform Res.
- 2012 Sep;18(3):178-185.
- doi: 10.4258/hir.2012.18.3.178
OBJECTIVES: This study aims to discover patients loyal to a hospital and model their medical service usage patterns. Consequently, this study proposes a data mining application in customer relationship management... -
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- Development of Health Insurance Rate-Setting System Utilizing Data Mining Technique
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Yong WS, Chae YM, Kang SH, Kim WJ
- KMID: 2210369
- J Korean Soc Med Inform.
- 2001 Jun;7(2):25-36.
The objective of this study is to present a new approach to the development of national health insurance rate-setting system using data mining technique. In particular, this paper examines the... -
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- Systematic Review of Data Mining Applications in Patient-Centered Mobile-Based Information Systems
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Fallah M, Niakan Kalhori SR
- KMID: 2396417
- Healthc Inform Res.
- 2017 Oct;23(4):262-270.
- doi: 10.4258/hir.2017.23.4.262
OBJECTIVES: Smartphones represent a promising technology for patient-centered healthcare. It is claimed that data mining techniques have improved mobile apps to address patients’ needs at subgroup and individual levels. This... -
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- Data Mining in Spine Surgery: Leveraging Electronic Health Records for Machine Learning and Clinical Research
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Staartjes , Stienen MN
- KMID: 2469038
- Neurospine.
- 2019 Dec;16(4):654-656.
- doi: 10.14245/ns.1938434.217
No abstract available. -
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- Multiagent System using Data Mining Technique for the Management of Asthma in Mobile Computing Environments
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Kim SR, Kwon JH, Yoo SK, Hong CS
- KMID: 2330355
- J Korean Soc Med Inform.
- 2004 Sep;10(3):311-319.
OBJECTIVE: In the mobile computing environments, doctors or patients with mobile devices can access services at any time, any place. It makes chronic diseases, such as asthma care successively and... -
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- Predictive Factors of Social Functioning in Patients with Schizophrenia: Exploration for the Best Combination of Variables Using Data Mining
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Bae SM, Lee SH, Park YM, Hyun MH, Yoon H
- KMID: 2315873
- Psychiatry Investig.
- 2010 Jun;7(2):93-101.
OBJECTIVE: This study aimed to use data mining to explore the significantly contributing variables to good social functioning in schizophrenia patients. METHODS: The study cohort comprised 67 schizophrenia patients on stable... -
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- Stratified Sampling Design Based on Data Mining
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Kim YJ, Oh Y, Park S, Cho S, Park H
- KMID: 2166697
- Healthc Inform Res.
- 2013 Sep;19(3):186-195.
- doi: 10.4258/hir.2013.19.3.186
OBJECTIVES: To explore classification rules based on data mining methodologies which are to be used in defining strata in stratified sampling of healthcare providers with improved sampling efficiency. METHODS: We performed... -
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- Predictors of Protective Factors for Internet Game Addiction in Middle School Students using Data Mining Decision Tree Analysis
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Kweon YR, Kim SY
- KMID: 2322691
- J Korean Acad Psychiatr Ment Health Nurs.
- 2014 Mar;23(1):12-20.
PURPOSE: This study was done to identify protective factors which predict internet game addition in middle school students using data mining decision tree analysis. METHODS: The participants were 557 (Male=233, Female=324)... -
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- Diagnostic Analysis of Patients with Essential Hypertension Using Association Rule Mining
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Shin AM, Lee IH, Lee GH, Park HJ, Park HS, Yoon KI, Lee JJ, Kim YN
- KMID: 2166570
- Healthc Inform Res.
- 2010 Jun;16(2):77-81.
- doi: 10.4258/hir.2010.16.2.77
OBJECTIVES: The purpose of this study was to analyze the records of patients diagnosed with essential hypertension using association rule mining (ARM). METHODS: Patients with essential hypertension (ICD code, I10) were... -
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