| 2023 |
Association between arthritis and hand grip strength indices combined with anthropometry in an older Korean population |
| 2023 |
Association between anemia and grip strength indices combined with anthropometry in the Korean population |
| 2023 |
Risk factors for stroke among anthropometric indices and lipid profiles in the Korean population: A large-scale cross-sectional study |
| 2022 |
데이터마이닝을 이용한 심혈관질환 판별 모델 방법론 연구 |
| 2022 |
Risk factors for hypertension and diabetes comorbidity in a Korean population: A cross-sectional study |
| 2022 |
Association of myocardial infarction and angina pectoris with obesity and biochemical indices in the South Korean population |
| 2021 |
Anthropometric, biochemical, and nutritional risk factors for osteoporosis in Korean adults based on a large cross-sectional study |
| 2021 |
한국인 성인에서 스트레스에 대한 생화학적 요인 분석 연구 |
| 2021 |
Association of depressive disorder with biochemical and anthropometric indices in adult men and women |
| 2021 |
Prediction of Efficacy of Herbal Medicine for Treatment of Metabolic Risk Factors Based on Machine Learning |
| 2021 |
Prediction of hypertension based on facial complexion in Oriental medicine |
| 2021 |
The number of household members as a risk factor for peptic ulcer disease |
| 2021 |
머신러닝 기반 사회인구학적 특징을 이용한 고혈압 예측모델 |
| 2021 |
Comparison of anthropometric and body composition indices in the identification of metabolic risk factors |
| 2020 |
Identification of metabolic syndrome using phenotypes consisting of triglyceride levels with anthropometric indices in Korean adults |
| 2020 |
머신러닝 기반 중노년층의 기능성 위장장애 예측 모델 구현 |
| 2020 |
단순노무종사자 직업군에서의 우울증 위험요인 연구 |
| 2020 |
디스크 질환 위험요인에서의 남녀차이 연구 |
| 2020 |
머신런닝 기반 영양소를 이용한 골다공증 예측 모델 |
| 2020 |
한국인 성인남녀에서 신경통과 혈액정보와의 연관성 연구 |
| 2019 |
Identification of hypertriglyceridemia based on bone density, body fat mass, and anthropometry in a Korean population |
| 2019 |
머신러닝 기반 체지방 측정정보를 이용한 고콜레스테롤혈증 예측모델 |
| 2019 |
안면 정보를 이용한 나이브 베이즈 기반 고중성지방혈증 예측 모델 |
| 2019 |
Association of type 2 diabetes with anthropometrics, bone mineral density, and body composition in a large-scale screening study of Korean adults |
| 2018 |
A comparison of trunk circumference and width indices for hypertension and type 2 diabetes in a large-scale screening: a retrospective cross-sectional study |
| 2018 |
Association of Cold-Heat Patterns with Tongue Features, Body Composition, Anthropometric Indices, and Blood Parameters in Tae-Eum Type |
| 2018 |
Association of gastric and duodenal ulcers with anthropometry and nutrients: Korean National Health and Nutrition Examination Survey (KNHANES II-IV) 2001-2009 |
| 2018 |
Gender differences in wrist arterial pulse wave and anatomical properties in healthy Korean adults |
| 2017 |
Association of peptic ulcer disease with obesity, nutritional components, and blood parameters in the Korean population |
| 2017 |
Association of obesity with anatomical and physical indices related to the radial artery in Korean adults |
| 2016 |
웹 기반 통합체질진단 시스템-SCAT (Sasang Constitution Analysis Tool)- |
| 2016 |
한의 임상 정보의 효율적 통합을 위한 한의임상 데이터베이스 및 E-CRF 입력 시스템 구축 |
| 2016 |
Identification of hemoglobin levels based on anthropometric indices in elderly Koreans |
| 2016 |
Prediction of cold and heat patterns using anthropometric measures based on machine learning |
| 2016 |
Predictors of metabolic abnormalities in phenotypes that combined anthropometric indices and triglycerides |
| 2015 |
Identification of Type 2 Diabetes Risk Factor using Phenotypes consisting of Anthropometry and Triglycerides based on Machine Learning |
| 2015 |
Indicators of hypertriglyceridemia from anthropometric measures based on data mining |
| 2015 |
Association of hypertension with physical factors of wrist pulse waves using a computational approach: a pilot study |
| 2014 |
Identification of the Best Anthropometric Predictors of Serum High- and Low-Density Lipoproteins using Machine Learning |
| 2014 |
A comparison of the predictive power of anthropometric indices for hypertension and hypotension risk |
| 2014 |
Association of Morphological Features with Hematocrit Levels in Korean Adults: Classification Approach using Machine Learning |
| 2014 |
Predicting visceral obesity based on facial characteristics |
| 2013 |
Prediction of body mass index status from voice signals based on machine learning for automated medical applications |
| 2013 |
Prediction of Fasting Plasma Glucose Status using Anthropometric Measures for Diagnosing Type 2 Diabetes |
| 2013 |
A novel method for classifying body mass index on the basis of speech signals for future clinical applications: a pilot study |
