Health data-driven machine learning algorithms applied to risk indicators assessment for chronic kidney disease
Purpose As global aging progresses, the health management of chronic diseases has
become an important issue of concern to governments. Influenced by the aging of its …
become an important issue of concern to governments. Influenced by the aging of its …
Integrating health data-driven machine learning algorithms to evaluate risk factors of early stage hypertension at different levels of HDL and LDL cholesterol
Purpose: Cardiovascular disease (CVD) is a major worldwide health burden. As the risk
factors of CVD, hypertension, and hyperlipidemia are most mentioned. Early stage …
factors of CVD, hypertension, and hyperlipidemia are most mentioned. Early stage …
Risk assessment of metabolic syndrome prevalence involving sedentary occupations and socioeconomic status
Objectives To determine whether occupation type, distinguished by socioeconomic status
(SES) and sedentary status, is associated with metabolic syndrome (MetS) risk. Methods We …
(SES) and sedentary status, is associated with metabolic syndrome (MetS) risk. Methods We …
n-3 PUFA and caloric restriction diet alters lipidomic profiles in obese men with metabolic syndrome: a preliminary open study
Purpose For people with metabolic syndrome (MetS), altering the macronutrient composition
of their diets might ameliorate metabolic abnormalities. The common method of clinical …
of their diets might ameliorate metabolic abnormalities. The common method of clinical …
The utility of artificial neural networks for the non-invasive prediction of metabolic syndrome based on personal characteristics
FH Wang, CM Lin - International Journal of Environmental Research and …, 2020 - mdpi.com
This study investigated the diagnostic accuracy of using an artificial neural network (ANN)
for the prediction of metabolic syndrome (MetS) based on socioeconomic status and lifestyle …
for the prediction of metabolic syndrome (MetS) based on socioeconomic status and lifestyle …
Prevalence and Risk Factors of Metabolic Syndrome among the Homeless in Taipei City: A Cross-Sectional Study
The safety and health of homeless people are important social issues. Metabolic syndrome
(MetS) is a sub-health-risk phenomenon that has been severely aggravated worldwide in …
(MetS) is a sub-health-risk phenomenon that has been severely aggravated worldwide in …
Secuencia De acumulación de Componentes del síndrome metabólico en población de Chile: Estudio de Cohortes de Nacimiento
SU Cerda - 2022 - search.proquest.com
Antecedentes: el síndrome metabólico (SM) contribuye al desarrollo de enfermedades
cardiovasculares y diabetes tipo 2. Hay escasa evidencia respecto de si existe una …
cardiovasculares y diabetes tipo 2. Hay escasa evidencia respecto de si existe una …
[PDF][PDF] NTK Nguyen, H.-C. Lee, H.-T. Wu, W. Wang & S.-Y. Huang
A Shabrina, TH Tung - researchgate.net
Purpose For people with metabolic syndrome (MetS), altering the macronutrient composition
of their diets might ameliorate metabolic abnormalities. The common method of clinical …
of their diets might ameliorate metabolic abnormalities. The common method of clinical …