Skip to Content

Track patient recovery in real-time by processing streaming data

2024
Team Members:
  • Emma Cardenas
  • Haobin Zhou
  • Yimeng Xu
  • Zhenyu Xiao
Advisors:
  • Adam Charles
Sponsors:
  • Hao

Abstract:

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.

Read the Johns Hopkins University privacy statement here.

Accept