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Data Mining in Spine Surgery: Leveraging Electronic Health Records for Machine Learning and Clinical Research

Staartjes , Stienen MN

No abstract available.
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A Text Mining Analysis of HPV Vaccination Research Trends

Son Y, Kang HS

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

Jeong SJ, Lee HJ, Lee SD, Lee SH, Park SJ, Kim JS, Lee JW

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

Kim JD, Cohen KB, Collier N, Lu Z, Rinaldi F

No abstract available.
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Keywords analysis of the Journal of the Korean Society of Emergency Medicine using text mining

Hwang KC, Cho GC, Sohn Y, Cho Y, Lee J, Lee HJ, Cha HM, Chang HW

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

Fallah M, Niakan Kalhori SR

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

Renganathan V

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

Kim YG, Lee JH, Cho S, Kim MY, Lee SD, Ha EH, Ahn JJ

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

Cha HS, Yoon TS, Ryu KC, Shin IW, Choe YH, Lee KY, Lee JD, Ryu KH, Chung SH

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

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

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

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

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

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

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

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

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

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

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

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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