Aditi Site: Transforming the healthcare delivery system from reactive to proactive by harnessing the power of eHealth sensors and machine learning

Profile picture of Aditi Site. Photo: Nachiket Ayir
Photo: Nachiket Ayir

Wearable-based data-driven solutions using machine learning analytics can potentially simplify the entire healthcare ecosystem. Such solutions could be used for predicting chronic diseases and their severity, says MSc Aditi Site. Her doctoral dissertation analyzes the data obtained from multiple wearable sensors for identifying the disease such as Parkinson's, and diabetes, and even states of mind such as loneliness. Site’s approach could help enhancing the chronic illness management by providing solution for early detection and continuous monitoring of health parameters.

Public defence on Friday 29 November

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Link to the thesis

Link to the event