Development of Nonlaboratory-Based Risk Prediction Models for Cardiovascular Diseases Using Conventional and Machine Learning Approaches - Sajid, Mirza Rizwan; Almehmadi, Bader A.; Sami, Waqas; Alzahrani, Mansour K.; Muhammad, Noryanti; Chesneau, Christophe; Hanif, Asif; Khan, Arshad Ali; Shahbaz, Ahmad (International journal of environmental research and public health, 2021)
Keywords: Abdomen; Adult; Age groups; Aged; Cardiovascular disease; Cardiovascular Diseases - epidemiology; Case-Control Studies; Congenital diseases; Diabetes; Food; Gender; Hospitals; Humans; Hypertension; Laboratories; Machine Learning; Middle Aged; Mortality; Obesity; Population; Reproducibility of Results; Risk Assessment; Risk factors; machine learning models; nonlaboratory-based features; risk prediction models; LMICs; features importance