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1 Development and Comparison of Three Data Models for Predicting Diabetes Mellitus Using Risk Factors in a Nigerian Population
Oluwakemi Odukoya, Solomon Nwaneri, Ifedayo Odeniyi, Babatunde Akodu, Esther Oluwole, Gbenga Olorunfemi, Oluwatoyin Popoola, Akinniyi Osuntoki
Healthc Inform Res.2022;28(1):58-67.   Published online 2022 January 31     DOI: http://dx.doi.org/10.4258/hir.2022.28.1.58
      
2 Impact of the Choice of Cross-Validation Techniques on the Results of Machine Learning-Based Diagnostic Applications
Ilias Tougui, Abdelilah Jilbab, Jamal El Mhamdi
Healthc Inform Res.2021;27(3):189-199.   Published online 2021 July 31     DOI: http://dx.doi.org/10.4258/hir.2021.27.3.189
      
3 The accuracy and consistency of mastery for each content domain using the Rasch and deterministic inputs, noisy “and” gate diagnostic classification models: a simulation study and a real-world analysis using data from the Korean Medical Licensing Examination
Dong Gi Seo, Jae Kum Kim, Sun Huh
J Educ Eval Health Prof.2021;18:15.  Published online 2021 July 5     DOI: http://dx.doi.org/10.3352/jeehp.2021.18.15
      
4 Interpretation of volume kinetics in terms of pharmacokinetic principles
Byung-Moon Choi
Korean J Anesthesiol.2021;74(3):204-217.   Published online 2021 March 5     DOI: http://dx.doi.org/10.4097/kja.21085
      
5 Competing Risk Model in Survival Analysis
Yena Jeon, Won Kee Lee
Cardiovasc Prev Pharmacother.2020;2(3):77-84.   Published online 2020 July 31     DOI: http://dx.doi.org/10.36011/cpp.2020.2.e11
      
6 Methods for quantitative measurement of tooth wear using the area and volume of virtual model cusps
Soo-Hyun Kim, Young-Seok Park, Min-Kyoung Kim, Sulhee Kim, Seung-Pyo Lee
J Periodontal Implant Sci.2018;48(2):124-134.   Published online 2018 April 30     DOI: http://dx.doi.org/10.5051/jpis.2018.48.2.124
      
7 Asian Ethnic Group Classification Model Using Data Mining
Yoon Geon Kim, Ji Hyun Lee, Sohee Cho, Moon Young Kim, Soong Deok Lee, Eun Ho Ha, Jae Joon Ahn
Korean J Leg Med.2017;41(2):32-40.   Published online 2017 January 19     DOI: http://dx.doi.org/10.7580/kjlm.2017.41.2.32
   
8 Identifying Latent Classes of Risk Factors for Coronary Artery Disease
Eunsil Ju, JiSun Choi
J Korean Acad Nurs.2017;47(6):817-827.   Published online 2017 January 15     DOI: http://dx.doi.org/10.4040/jkan.2017.47.6.817
   
9 Significant results: statistical or clinical?
Sangil Park
Korean J Anesthesiol.2016;69(2):121-125.   Published online 2016 March 30     DOI: http://dx.doi.org/10.4097/kjae.2016.69.2.121
      
10 Psychological and Social Factors Affecting Internet Searches on Suicide in Korea: A Big Data Analysis of Google Search Trends
Tae Min Song, Juyoung Song, Ji-Young An, Laura L. Hayman, Jong-Min Woo
Yonsei Med J.2014;55(1):254-263.   Published online 2013 November 29     DOI: http://dx.doi.org/10.3349/ymj.2014.55.1.254
      
11 Prediction of Daily Patient Numbers for a Regional Emergency Medical Center using Time Series Analysis
Hye Jin Kam, Jin Ok Sung, Rae Woong Park
Healthc Inform Res.2010;16(3):158-165.   Published online 2010 September 30     DOI: http://dx.doi.org/10.4258/hir.2010.16.3.158
      

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