연구동향 분석

머신러닝 기반 체지방 측정정보를 이용한 고콜레스테롤혈증 예측모델

이범주 2019년

논문상세정보
인용/피인용
' 머신러닝 기반 체지방 측정정보를 이용한 고콜레스테롤혈증 예측모델' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Body fat mass
  • High cholesterol
  • Hypercholesterolemia
  • Machine learning
  • cholesterol
  • data-mining
  • prediction model
  • 고콜레스테롤
  • 고콜레스테롤혈증
  • 데이터마이닝
  • 머신 러닝
  • 예측모델
  • 체지방
  • 콜레스테롤
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
2,787 0

0.0%

' 머신러닝 기반 체지방 측정정보를 이용한 고콜레스테롤혈증 예측모델' 의 참고문헌

  • 대구·경북지역 당뇨 환자의 식행동 및 식품 섭취에 관한 조사 연구
    안은영 [2019]
  • Wrappers for feature subset selection
    Kohavi R [1997]
  • Volumetric analysis of central body fat accurately predicts incidence of diabetes and hypertension in adults
  • Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors
  • Tree-based Approach to Predict Hospital Acquired Pressure Injury
    현수경 [2019]
  • The effects of orlistat on weight and on serum lipids in obese patients with hypercholesterolemia: a randomized, double-blind, placebo-controlled, multicentre study
    Muls E [2001]
  • The body mass index is a less-sensitive tool for detecting cases with obesity-associated co-morbidities in short stature subjects
  • The WEKA data mining software: an update
    Hall M [2009]
  • The Influence of Body Fat Distribution on the Incidence of Diabetes Mellitus: 13.5 Years of Follow-up of the Participants in the Study of Men Born in 1913
  • The Fourth Korea National Health and Nutrition Examination Survey (KNHANES IV-3)
    [2009]
  • Short sleep duration as a risk factor for hypercholesterolemia: analyses of the National Longitudinal Study of Adolescent Health
  • Prediction of Fasting Plasma Glucose Status Using Anthropometric Measures for Diagnosing Type 2 Diabetes
    Bum Ju Lee [2014]
  • Indicators of hypertriglyceridemia from anthropometric measures based on data mining
    Bum Ju Lee [2015]
  • Impact of body weight and weight loss on cardiovascular risk factors
    Hecker KD [1999]
  • Identification of the Best Anthropometric Predictors of Serum High- and Low-Density Lipoproteins Using Machine Learning
    Bum Ju Lee [2015]
  • Identification of Type 2 Diabetes Risk Factors Using Phenotypes Consisting of Anthropometry and Triglycerides based on Machine Learning
    Bum Ju Lee [2016]
  • Identification of Hemoglobin Levels Based on Anthropometric Indices in Elderly Koreans
    Bum Ju Lee [2016]
  • Cut-off points of waist circumference and body mass index for detecting diabetes, hypercholesterolemia and hypertension according to National Non-Communicable Disease Risk Factors Surveillance in Iran
  • Current and emerging treatments for hypercholesterolemia: A focus on statins and proprotein convertase subtilisin/kexin Type 9 inhibitors for perioperative clinicians
  • Comparison of regional fat measurements by dual-energy X-ray absorptiometry and conventional anthropometry and their association with markers of diabetes and cardiovascular disease risk
    S K Vasan [2018]
  • Cascade Screening for Familial Hypercholesterolemia and the Use of Genetic Testing
  • Brown fat activation reduces hypercholesterolaemia and protects from atherosclerosis development
  • Body Mass Index, the Most Widely Used But Also Widely Criticized Index: Would a Gold-Standard Measure of Total Body Fat be a Better Predictor of Cardiovascular Disease Mortality?
  • Body Fat Distribution and Risk of Non-Insulin-dependent Diabetes Mellitus in Women: The Nurses' Health Study
    V. J. Carey [1997]
  • Benchmarking attribute selection techniques for discrete data class data mining
    Hall M [2003]
  • BMI, total and abdominal fat distribution, and cardiovascular risk factors in school-age children
    Olta Gishti [2015]
  • Association of type 2 diabetes with anthropometrics, bone mineral density, and body composition in a large-scale screening study of Korean adults
  • Abdominal fat: does it predict the development of type 2 diabetes?
  • Abdominal and Gynoid Fat Mass Are Associated with Cardiovascular Risk Factors in Men and Women
  • A comparison of trunk circumference and width indices for hypertension and type 2 diabetes in a large-scale screening: a retrospective cross-sectional study
    Bum Ju Lee [2018]
  • A Comparison of the Predictive Power of Anthropometric Indices for Hypertension and Hypotension Risk
    Bum Ju Lee [2014]