Track patient recovery in real-time by processing streaming data
Program:
Biomedical Engineering
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.
Team Members
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Emma Cardenas
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Haobin Zhou
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Yimeng Xu
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Zhenyu Xiao
Project Mentors, Sponsors, and Partners
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Hao
Course Faculty
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Adam Charles
