Track patient recovery in real-time by processing streaming data

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

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