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About the Project

In medical research, a dynamic treatment regime (DTR), adaptive intervention, or adaptive treatment strategy is a set of rules for choosing effective treatments for individual patients. They are designed as sequential decision-making problems by using reinforcement learning methods for developing policy with respect to automation for process of developing treatment regimes for patients by consideration of long-term health benefits. Treatment choices made for a particular patient under a dynamic regime are based on that individual’s characteristics and history, with the goal of optimizing his or her long-term clinical outcome. The major research problems are in Intensive/critical care, Resource scheduling and task allocation, Drug Discovery and Patient Health Management.

Department and Campus

Electronics and Communication Engineering, Amrita School of Engineering, Amritapuri

Skillsets Preferred from Applicants

Basic Programming Knowledge, Basic Signal and Image Processing


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