Project 30: A Diabetes Monitoring and Health Management System Based on Machine Learning

Contact Information:

Assoc. Prof. Bin Sheng

Email: shengbin@cs.sjtu.edu.cn

Project Description and Objectives:

The incidence of long-term complications of type 2 diabetes is high. One of the main reasons for this phenomenon is the contradiction between the large population of diabetes patients and limited medical resources. This study aims to build a set of multi-scene integrated diabetes intelligent decision-making system based on neural network and reinforcement learning for the linkage between hospitals and communities, to realize intelligent and to accurate treatment guidance for patients with diabetes in different scenarios such as hospital hospitalization and daily life.

Eligibility Requirements:

Applicants must have some computer programming skills, an understanding of neural networks and artificial intelligence, and a passion for medical care.

Main Tasks:

Understand digital medical image processing.

Perform experiments, analyze experimental, and write a research report.

Give a research presentation (technical presentation).

Website:

Lab: https://www.deepdrdoc.com/ 

School: http://www.cs.sjtu.edu.cn/en/PeopleDetail.aspx?id=149