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1 A Prediction Model for Osteoporosis Risk Using a Machine-Learning Approach and Its Validation in a Large Cohort
Xuangao Wu, Sunmin Park
J Korean Med Sci.2023;38(21):e162.  Published online 2023 April 25     DOI: http://dx.doi.org/10.3346/jkms.2023.38.e162
      
2 Associations Between Korean Coronary Heart Disease Risk Score and Cognitive Function in Dementia-Free Korean Older Adults
Hanbit Mun, Jae-Yong Shim, Heejin Kimm, Hee-Cheol Kang
J Korean Med Sci.2022;38(2):e11.  Published online 2022 December 12     DOI: http://dx.doi.org/10.3346/jkms.2023.38.e11
      
3 Predicting Postoperative Complications and Long-Term Survival After Lung Cancer Surgery Using Eurolung Risk Score
Jae Kwang Yun, Jae Hwa Jeong, Geun Dong Lee, Hyeong Ryul Kim, Yong-Hee Kim, Dong Kwan Kim, Seung-Il Park, Sehoon Choi
J Korean Med Sci.2022;37(5):e36.  Published online 2022 January 21     DOI: http://dx.doi.org/10.3346/jkms.2022.37.e36
      
4 Polygenic risk score: a useful clinical instrument for disease prediction and risk categorization
Jae-Seung Yun
Cardiovasc Prev Pharmacother.2022;4(1):13-17.   Published online 2022 January 21     DOI: http://dx.doi.org/10.36011/cpp.2022.4.e7
      
5 Clinical and Genetic Risk Factors Associated With the Presence of Lupus Nephritis
Jung-Min Shin, Dam Kim, Young-Chang Kwon, Ga-Young Ahn, Jiyoung Lee, Youngho Park, Yeon-Kyung Lee, Tae-Han Lee, Dae Jin Park, Yeo-Jin Song, Eunji Ha, Kwangwoo Kim, So-Young Bang, Chan-Bum Choi, Hye-Soon Lee, Sang-Cheol Bae
J Rheum Dis.2021;28(3):150-158.   Published online 2021 July 1     DOI: http://dx.doi.org/10.4078/jrd.2021.28.3.150
      
6 A Clinical Risk Score to Predict In-hospital Mortality from COVID-19 in South Korea
Ae-Young Her, Youngjune Bhak, Eun Jung Jun, Song Lin Yuan, Scot Garg, Semin Lee, Jong Bhak, Eun-Seok Shin
J Korean Med Sci.2021;36(15):e108.  Published online 2021 April 7     DOI: http://dx.doi.org/10.3346/jkms.2021.36.e108
      
7 Comparison of Polygenic Risk for Schizophrenia between European and Korean Populations
Jinyoung Lee, Dongbin Lee, Eun Young Cho, Ji Hyun Baek, Kyung Sue Hong
Korean J Schizophr Res.2020;23(2):65-70.   Published online 2020 October 23     DOI: http://dx.doi.org/10.16946/kjsr.2020.23.2.65
      
8 An Innovative Prognostic Model Based on Four Genes in Asian Patient with Gastric Cancer
Jiahui Chen, Anqiang Wang, Jun Ji, Kai Zhou, Zhaode Bu, Guoqing Lyu, Jiafu Ji
Cancer Res Treat.2021;53(1):148-161.   Published online 2020 August 31     DOI: http://dx.doi.org/10.4143/crt.2020.424
      
9 Data science and machine learning in anesthesiology
Dongwoo Chae
Korean J Anesthesiol.2020;73(4):285-295.   Published online 2020 March 25     DOI: http://dx.doi.org/10.4097/kja.20124
      
10 Comparison of risk-assessment tools for cardio-cerebrovascular diseases (CVD) in male shipyard workers: a cross-sectional study
Jea Chul Ha, Jun Seok Son, Young Ouk Kim, Chang Ho Chae, Chan Woo Kim, Hyoung Ouk Park, Jun Ho Lee, Young Hoo Shin, Hyun Woo Park
Ann Occup Environ Med.2019;31(1):e4.  Published online 2019 May 23     DOI: http://dx.doi.org/10.35371/aoem.2019.31.e4
   
11 Development of a Baseline Checklist for CTD Risk Assessment
Donghyun Park, Sang Hwan Han, Dong Bin Song
Korean J Occup Environ Med.1998;10(2):251-266.   Published online 2019 January 31     DOI: http://dx.doi.org/10.35371/kjoem.1998.10.2.251
   
12 Framingham Risk Scores by Occupational Group: Based on the 3rd Korean National Health and Nutrition Examination Survey
Min Chul Choi, Yoon Hee Song, Sang Youl Rhee, Jeong-taek Woo
Korean J Occup Environ Med.2009;21(1):63-75.   Published online 2019 January 29     DOI: http://dx.doi.org/10.35371/kjoem.2009.21.1.63
   
13 Genetic Risk Score, Combined Lifestyle Factors and Risk of Colorectal Cancer
Young Ae Cho, Jeonghee Lee, Jae Hwan Oh, Hee Jin Chang, Dae Kyung Sohn, Aesun Shin, Jeongseon Kim
Cancer Res Treat.2019;51(3):1033-1040.   Published online 2018 October 18     DOI: http://dx.doi.org/10.4143/crt.2018.447
      
14 Verification of Current Risk Scores for Kawasaki Disease in Korean Children
Jaeeun Shin, Heeyoung Lee, Lucy Eun
J Korean Med Sci.2017;32(12):1991-1996.   Published online 2017 November 1     DOI: http://dx.doi.org/10.3346/jkms.2017.32.12.1991
      
15 The Relationship between Subclinical Thyroid Disease and Cardiovascular Disease Risk Score in Koreans
Hee Joong Lim, Seong Hee Ahn, Seongbin Hong, Young Ju Suh
J Korean Med Sci.2017;32(10):1626-1632.   Published online 2017 September 4     DOI: http://dx.doi.org/10.3346/jkms.2017.32.10.1626
      
16 Performance of the Achutha Menon Centre Diabetes Risk Score in Identifying Prevalent Diabetes in Tamil Nadu, India
Anu Mary Oommen, Vinod Joseph Abraham, Thirunavukkarasu Sathish, V. Jacob Jose, Kuryan George
Diabetes Metab J.2017;41(5):386-392.   Published online 2017 August 25     DOI: http://dx.doi.org/10.4093/dmj.2017.41.5.386
      
17 Human Umbilical Cord Blood CD34-Positive Cells as Predictors of the Incidence and Short-Term Outcome of Neonatal Hypoxic-Ischemic Encephalopathy: A Pilot Study
Sahar M. A. Hassanein, Mohamed Hassan Nasr Eldin, Hanaa A. Amer, Adel E. Abdelhamid, Moustafa El Houssinie, Abir Ibrahim
J Clin Neurol.2017;13(1):84-90.   Published online 2016 December 30     DOI: http://dx.doi.org/10.3988/jcn.2017.13.1.84
      
18 The Association between Diabetic Retinopathy and Framingham Risk Score in Koreans with Type II Diabetes
Da Yeong Kim, Su Jeong Song, Jeong Hun Bae, Cheol-Young Park, Eun-Jung Rhee
J Korean Ophthalmol Soc.2016;57(5):779-785.   Published online 2016 May 13     DOI: http://dx.doi.org/10.3341/jkos.2016.57.5.779
      
19 Role of Coronary Artery Calcium Scoring in Detection of Coronary Artery Disease according to Framingham Risk Score in Populations with Low to Intermediate Risks
Won-Jang Kim, Chang Hee Kwon, Seungbong Han, Woo Seok Lee, Joon Won Kang, Jung-Min Ahn, Jong-Young Lee, Duk-Woo Park, Soo-Jin Kang, Seung-Whan Lee, Young-Hak Kim, Cheol Whan Lee, Seong-Wook Park, Seung-Jung Park
J Korean Med Sci.2016;31(6):902-908.   Published online 2016 April 18     DOI: http://dx.doi.org/10.3346/jkms.2016.31.6.902
      
20 The Relationship between 10-Year Cardiovascular Risk Calculated Using the Pooled Cohort Equation and the Severity of Non-Alcoholic Fatty Liver Disease
Jeong In Lee, Min Chul Kim, Byung Sub Moon, Young Seok Song, Eun Na Han, Hyo Sun Lee, Yoonjeong Son, Jihyun Kim, Eun Jin Han, Hye-Jeong Park, Se Eun Park, Cheol-Young Park, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Eun-Jung Rhee
Endocrinol Metab.2016;31(1):86-92.   Published online 2016 March 16     DOI: http://dx.doi.org/10.3803/EnM.2016.31.1.86
      

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