- 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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- A Text Mining Analysis of HPV Vaccination Research Trends
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Son Y, Kang HS
- KMID: 2464950
- Child Health Nurs Res.
- 2019 Oct;25(4):458-467.
- doi: 10.4094/chnr.2019.25.4.458
PURPOSE: The purpose of this study was to identify human papillomavirus (HPV) vaccination research trends by visualizing a keyword network. METHODS: Articles about HPV vaccination were retrieved from the PubMed and... -
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- Classification of Common Relationships Based on Short Tandem Repeat Profiles Using Data Mining
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Jeong SJ, Lee HJ, Lee SD, Lee SH, Park SJ, Kim JS, Lee JW
- KMID: 2456272
- Korean J Leg Med.
- 2019 Aug;43(3):97-105.
- doi: 10.7580/kjlm.2019.43.3.97
We reviewed past studies on the identification of familial relationships using 22 short tandem repeat markers. As a result, we can obtain a high discrimination power and a relatively accurate... -
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- Introduction to BLAH5 special issue: recent progress on interoperability of biomedical text mining
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Kim JD, Cohen KB, Collier N, Lu Z, Rinaldi F
- KMID: 2462022
- Genomics Inform.
- 2019 Jun;17(2):e12.
- doi: 10.5808/GI.2019.17.2.e12
No abstract available. -
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- Keywords analysis of the Journal of the Korean Society of Emergency Medicine using text mining
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Hwang KC, Cho GC, Sohn Y, Cho Y, Lee J, Lee HJ, Cha HM, Chang HW
- KMID: 2441130
- J Korean Soc Emerg Med.
- 2019 Feb;30(1):94-99.
- doi: 10.0000/jksem.2019.30.1.94
OBJECTIVE: Data mining extracts meaningful information from large datasets. In this study, text mining techniques were used to extract keywords from the Journal of the Korean Society of Emergency Medicine,... -
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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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- 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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- Asian Ethnic Group Classification Model Using Data Mining
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Kim YG, Lee JH, Cho S, Kim MY, Lee SD, Ha EH, Ahn JJ
- KMID: 2379670
- Korean J Leg Med.
- 2017 May;41(2):32-40.
- doi: 10.7580/kjlm.2017.41.2.32
In addition to identifying genetic differences between target populations, it is also important to determine the impact of genetic differences with regard to the respective target populations. In recent years,... -
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- Implementation of Hospital Examination Reservation System Using Data Mining Technique
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Cha HS, Yoon TS, Ryu KC, Shin IW, Choe YH, Lee KY, Lee JD, Ryu KH, Chung SH
- KMID: 2284612
- Healthc Inform Res.
- 2015 Apr;21(2):95-101.
- doi: 10.4258/hir.2015.21.2.95
OBJECTIVES: New methods for obtaining appropriate information for users have been attempted with the development of information technology and the Internet. Among such methods, the demand for systems and services... -
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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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- Prediction of Hospital Charges for the Cancer Patients with Data Mining Techniques
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Kang JO, Chung SH, Suh YM
- KMID: 2357289
- J Korean Soc Med Inform.
- 2009 Mar;15(1):13-23.
OBJECTIVE: Predictions of hospital charges for cancer patients are very important, because they provide a basis for allocating medical resources in the hospital and for establishing national medical policies. But... -
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- Predicting Breast Cancer Survivability: Comparison of Five Data Mining Techniques
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Endo A, Takeo S, Tanaka H
- KMID: 2330791
- J Korean Soc Med Inform.
- 2007 Jun;13(2):177-180.
OBJECTIVE: Today in United States, about one in eight women have been affected with breast cancer over their lifetime. Up to today, some various prediction models using SEER (Surveillance Epidemiology... -
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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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- 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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- 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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- Classification of Human Papillomavirus (HPV) Risk Type via Text Mining
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Park SB, Hwang S, Zhang BT
- KMID: 2053070
- Genomics Inform.
- 2003 Dec;1(2):80-86.
Human Papillomavirus (HPV) infection is known as the main factor for cervical cancer which is a leading cause of cancer deaths in women worldwide. Because there are more than 100... -
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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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- Efficient DRG Fraud Candidate Detection Method Using Data Mining Techniques
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Hong D, Lee JK, Jo MW, Park K, Lee SI, Lee MS, Kim CY, Kim YI
- KMID: 2283451
- Korean J Prev Med.
- 2003 May;36(2):147-152.
OBJECTIVES: To develop a Diagnosis-Related Group (DRG) fraud candidate detection method, using data mining techniques, and to examine the efficiency of the developed method. METHODS: The study included 79, 790... -
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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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