Mobile health for cardiovascular disease risk prediction and management in resource-constrained environments

Thesis

It is well established that the leading global cause of mortality and morbidity, cardiovascular disease (CVD), is more severe in resource-constrained environments such as rural India (RI). This thesis explores how best to manage CVD risk in RI by using a mobile-based, point-of- care (POC) Clinical Decision Support System (CDSS), SMARThealth, that is designed to assist Accredited Social Health Activists (ASHAs) or minimally trained health workers. The four major focus areas are:

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Authors: Raghu, A

• Alternative title: Mobile health and machine learning for cardiovascular disease risk management in rural India
• Type of award: DPhil
• Level of award: Doctoral
• Awarding institution: University of Oxford
• Language: English
• Keywords: cardiovascular disease risk; epidemiology; machine learning; WHO; India; mobile health
• Subjects: biomedical engineering; epidemiology; information engineering