abhisheks008/Predicting-Death-Time-and-Mortality
A Machine Learning Approach for Predicting the Death Time and Mortality
This project offers a machine learning framework that uses patient data from the first six hours of ICU admission to predict two critical outcomes. It takes in early-stage ICU patient data and outputs both the likelihood of in-hospital mortality and an estimated time of death for at-risk patients. This tool is designed for doctors, nurses, and medical staff in Intensive Care Units to make timely decisions.
No commits in the last 6 months.
Use this if you need to quickly identify high-risk ICU patients and get an early estimate of their potential death time to allocate resources effectively.
Not ideal if you require predictions based on patient data beyond the initial 24 hours of ICU admission, as this model focuses on very early-stage data.
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8
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3
Language
Jupyter Notebook
License
MIT
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Last pushed
Jul 14, 2023
Commits (30d)
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