Project Description:

Problem: Cardiovascular diseases lead to high mortality rates, requiring precise risk prediction tools.
Objective: To improve mortality predictions using real-time data and predictive analytics.
Approach: Four models were tested; the LSTM model proved most accurate.

Project Photo:

Track patient recovery in real-time by processing streaming data

Student Team Members

• Emma Cardenas
• Haobin Zhou
• Yimeng Xu
• Zhenyu Xiao

Course Faculty

• Adam Charles

Project Mentors, Sponsors, and Partners

• Hao