title: An analytics based clinical decision support system for CVD risk assessment and management.
abstract: Cardiovascular disease (CVD) is a major cause of disability and premature death throughout the world. Acute coronary events and other cardiovascular events frequently occur suddenly, and are often fatal before medical care can be given. Risk factor modification can reduce clinical events and premature death in people with established cardiovascular disease as well as in those who are at high cardiovascular risk due to one or more risk factors. In this work, India specific World Health Organization-International Society of Hypertension (WHO-ISH) guidelines has been implemented to stratify the subjects by their risk profile. It provides simplified approach to detect those people at high risk and provides guidance on what should be done for prevention of heart attack. Further, based on the risk stratification, lifestyle coaching, medication management and the next tests are advised to the subjects. This approach will help in early detection of cardiovascular risk subjects and provide necessary interventions at appropriate time frame. Also, it acts as motivation to the individuals to comply with recommended lifestyle changes.
authors.forename: Shreya
authors.initials: S
authors.lastname: Anand
authors.forename: Ravindra B
authors.initials: RB
authors.lastname: Patil
authors.forename: P
authors.initials: P
authors.lastname: Krishnamoorthy
mesh_terms: D002318:Cardiovascular Diseases / Q000175:diagnosis / Q000453:epidemiology / Q000517:prevention & control*; D020000:Decision Support Systems, Clinical; D019468:Disease Management; D042241:Early Diagnosis; D005260:Female; D006801:Humans; D007194:India; D008297:Male; D017410:Practice Guidelines as Topic; D018570:Risk Assessment; D014944:World Health Organization