Spatial analysis of air pollutant exposure and its association with metabolic diseases using machine learning

Guardado en:

Detalles Bibliográficos
Publicado en:	BMC Public Health vol. 25 (2025), p. 1
Autor principal:	Liu, Jingjing
Otros Autores:	Liu, Chang, Liu, Zhangdaihong, Zhou, Yibin, Li, Xiaoguang, Yang, Yang
Publicado:	Springer Nature B.V.
Materias:	China Performance evaluation Spatial analysis Epidemiology Demographics Sensitivity analysis Principal components analysis Multilayer perceptrons Questionnaires Cities Genetic factors Hypertension Machine learning Air pollution Metabolic disorders Decision trees Blood pressure Clustering Cadmium Exposure Regions Public health Socioeconomics Dyslipidemia Algorithms Meteorological data Insulin resistance Plasma Diabetes Pollutants Socioeconomic factors Multilayers Self report Disease prevention Fasting Longitudinal studies Osteoporosis Learning algorithms Pollution levels Cluster analysis Cohort analysis Support vector machines Glucose Diabetes mellitus Demography Vector quantization Social
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Sea el primero en dejar un comentario!