- Application of Machine Learning Algorithms to Predict Osteoporotic Fractures in Women
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Kang SJ, Kim MJ, Hur YI, Haam JH, Kim YS
- KMID: 2556144
- Korean J Fam Med.
- 2024 May;45(3):144-148.
- doi: 10.4082/kjfm.23.0186
Background: Predicting the risk of osteoporotic fractures is vital for prevention. Traditional methods such as the Fracture Risk Assessment Tool (FRAX) model use clinical factors. This study examined the predictive... -
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- Sex Difference in the Association between Serum Homocysteine Level and Non-Alcoholic Fatty Liver Disease
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Won BY, Park KC, Lee SH, Yun SH, Kim MJ, Park KS, Kim YS, Haam JH, Kim HY, Kim HJ, Park KH
- KMID: 2391714
- Korean J Fam Med.
- 2016 Jul;37(4):242-247.
- doi: 10.4082/kjfm.2016.37.4.242
BACKGROUND: The relationship between serum homocysteine levels and non-alcoholic fatty liver disease is poorly understood. This study aims to investigate the sex-specific relationship between serum homocysteine level and non-alcoholic fatty... -
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- Evaluation and Treatment of Obesity and Its Comorbidities: 2022 Update of Clinical Practice Guidelines for Obesity by the Korean Society for the Study of Obesity
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Kim KK, Haam JH, Kim BT, Kim EM, Park JH, Rhee SY, Jeon E, Kang E, Nam GE, Koo HY, Lim JH, Jeong JE, Kim JH, Kim JW, Park JH, Hong JH, Lee SE, Min SH, Kim SJ, Kim S, Kim YH, Lee YJ, Cho YJ, Rhie YJ, Kim Yh, Kang JH, Lee CB, Committee of Clinical Practice Guidelines, Korean Society for the Study of Obesity (KSSO)
- KMID: 2541133
- J Obes Metab Syndr.
- 2023 Mar;32(1):1-24.
- doi: 10.7570/jomes23016
The goal of the 8th edition of the Clinical Practice Guidelines for Obesity is to help primary care physician provide safe, effective care to patients with obesity by offering evidence-based... -
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