Using machine learning models to improve stroke risk level classification methods of China national stroke screening.

ABSTRACT: BACKGROUND:With the character of high incidence, high prevalence and high mortality, stroke has brought a heavy burden to families and society in China. In 2009, the Ministry of Health of China launched the China national stroke screening and intervention program, which screens stroke and its risk factors and conducts high-risk population interventions for people aged above 40 years old all over China. In this program, stroke risk factors include hypertension, diabetes, dyslipidemia, smoking, lack of exercise, apparently overweight and family history of stroke. People with more than two risk factors or history of stroke or transient ischemic attack (TIA) are considered as high-risk. However, it is impossible for this criterion to classify stroke risk levels for people with unknown values i

SUBMITTER: Li X 

PROVIDER: S-EPMC6902572 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature