- What kind of medical equations and decision trees do physicians want in their daily activities? : Analysis of one-year MedCalc 3000(R) log data
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Park RW, Kim EY, Hwang SC
- KMID: 2330757
- J Korean Soc Med Inform.
- 2007 Mar;13(1):27-34.
OBJECTIVE: Medical personnel require many evidence-based medical equations and decision trees for their daily medical practice, medical education and research. Among the hundreds of medical equations, the essential or frequently... -
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- The clinical decision analysis using decision tree
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Bae JM
- KMID: 2380569
- Epidemiol Health.
- 2014;36:e2014025.
- doi: 10.4178/epih/e2014025
The clinical decision analysis (CDA) has used to overcome complexity and uncertainty in medical problems. The CDA is a tool allowing decision-makers to apply evidence-based medicine to make objective clinical... -
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- Decision Tree Approach Characterizing the Non-Examinees of Health Screening Services
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Lee AK, Park IS, Lee SM
- KMID: 2330813
- J Korean Soc Med Inform.
- 2007 Sep;13(3):271-278.
OBJECTIVE: The purpose of this study was to develop the decision tree models to classify the characteristics of those who had not undergone the health screening tests provided by the... -
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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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- An Analysis of the Correlation between Alopecia and Chief Complaints
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Lee SW, Jang YH, Jeong EY
- KMID: 2284552
- Healthc Inform Res.
- 2011 Dec;17(4):253-259.
- doi: 10.4258/hir.2011.17.4.253
OBJECTIVES: In this study, we measured the extent of ten levels of classified symptoms by 300 (male and female) patients visiting the hair loss clinics of "S" hospitals in Gangbuk... -
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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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- Analysis of the Characteristics of the Older Adults with Depression Using Data Mining Decision Tree Analysis
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Park M, Choi S, Shin AM, Koo CH
- KMID: 1732660
- J Korean Acad Nurs.
- 2013 Feb;43(1):1-10.
- doi: 10.4040/jkan.2013.43.1.1
PURPOSE: The purpose of this study was to develop a prediction model for the characteristics of older adults with depression using the decision tree method. METHODS: A large dataset from the... -
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- Identification of Risky Subgroups with Sleep Problems Among Adult Cancer Survivors Using Decision-tree Analyses: Based on the Korean National Health and Nutrition Examination Survey from 2013 to 2016
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Kim HS, Jeong SH, Park SK
- KMID: 2438579
- J Korean Biol Nurs Sci.
- 2018 May;20(2):103-113.
- doi: 10.7586/jkbns.2018.20.2.103
PURPOSE: This study was performed to assess problems associated with sleep (short and long sleep duration) and to identify risky subgroups with sleep problems among adult cancer survivors. The study... -
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- Knowledge Discovery in a Community Data Set: Malnutrition among the Elderly
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Park M, Kim H, Kim SK
- KMID: 2166736
- Healthc Inform Res.
- 2014 Jan;20(1):30-38.
- doi: 10.4258/hir.2014.20.1.30
OBJECTIVES: The purpose of this study was to design a prediction model that explains the characteristics of elderly adults at risk of malnutrition. METHODS: Data were obtained from a large data... -
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- Development of Decision Tree Software and Protein Profiling using Surface Enhanced Laser Desorption/Ionization - Time of Flight - Mass Spectrometry (SELDI-TOF-MS) in Papillary Thyroid Cancer
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Yoon JK, Lee J, An YS, Park BN, Yoon SN
- KMID: 2139231
- Nucl Med Mol Imaging.
- 2007 Aug;41(4):299-308.
PURPOSE: The aim of this study was to develop a bioinformatics software and to test it in serum samples of papillary thyroid cancer using mass spectrometry (SELDI-TOF-MS). MATERIALS AND METHODS:... -
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- A Predictive Model of Depression in Rural Elders-Decision Tree Analysis
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Kim SE, Kim SA
- KMID: 1707134
- J Korean Acad Nurs.
- 2013 Jun;43(3):442-451.
- doi: 10.4040/jkan.2013.43.3.442
PURPOSE: This descriptive study was done to develop a predictive model of depression in rural elders that will guide prevention and reduction of depression in elders. METHODS: A cross-sectional descriptive survey... -
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- A Prediction Model of Factors related to Career Maturity in Korean High School Students
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Seo J, Kim M
- KMID: 2449183
- Child Health Nurs Res.
- 2019 Apr;25(2):95-102.
- doi: 10.4094/chnr.2019.25.2.95
PURPOSE: The purpose of this study was to identify factors associated with career maturity among Korean high school students. METHODS: A descriptive cross-sectional design was adopted using secondary data from the... -
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- Identification of Subgroups with Lower Level of Stroke Knowledge Using Decision-tree Analysis
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Kim HK, Jeong SH, Kang HC
- KMID: 1730910
- J Korean Acad Nurs.
- 2014 Feb;44(1):97-107.
- doi: 10.4040/jkan.2014.44.1.97
PURPOSE: This study was performed to explore levels of stroke knowledge and identify subgroups with lower levels of stroke knowledge among adults in Korea. METHODS: A cross-sectional survey was used and... -
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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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- A Comparison of Intensive Care Unit Mortality Prediction Models through the Use of Data Mining Techniques
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Kim S, Kim W, Park RW
- KMID: 2284550
- Healthc Inform Res.
- 2011 Dec;17(4):232-243.
- doi: 10.4258/hir.2011.17.4.232
OBJECTIVES: The intensive care environment generates a wealth of critical care data suited to developing a well-calibrated prediction tool. This study was done to develop an intensive care unit (ICU)... -
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- Applying of Decision Tree Analysis to Risk Factors Associated with Pressure Ulcers in Long-Term Care Facilities
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Moon M, Lee SK
- KMID: 2368984
- Healthc Inform Res.
- 2017 Jan;23(1):43-52.
- doi: 10.4258/hir.2017.23.1.43
OBJECTIVES: The purpose of this study was to use decision tree analysis to explore the factors associated with pressure ulcers (PUs) among elderly people admitted to Korean long-term care facilities. METHODS:... -
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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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- How to Define the Content of a Job-Specific Worker's Health Surveillance for Hospital Physicians?
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Ruitenburg MM, Frings-Dresen MHW, Sluiter JK
- KMID: 2161857
- Saf Health Work.
- 2016 Mar;7(1):18-31.
- doi: 10.1016/j.shaw.2015.08.004
BACKGROUND: A job-specific Worker's Health Surveillance (WHS) for hospital physicians is a preventive occupational health strategy aiming at early detection of their diminished work-related health in order to improve or... -
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- A Predictive Model using Decision Tree Method on Demand for Alternative Feeding Education by Nurses
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Oh J, Yoon CM, Kim BS
- KMID: 2291847
- J Korean Acad Child Health Nurs.
- 2010 Jan;16(1):84-92.
PURPOSE: One of the main reasons why mothers quit breast feeding is that the volume of breast milk is inadequate due to insufficiency in suckling. We believe suckling experience may... -
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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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