MainakVerse/Cardiac-Arrest-Risk-Detection
Cardiac Arrest Risk Detection with binary data types
This program helps medical professionals assess a patient's risk of cardiac arrest. By inputting relevant patient data, it analyzes patterns to identify subtle indicators that might predict an impending cardiac event. The output provides a risk assessment, aiding doctors in early recognition and proactive management to improve patient outcomes.
No commits in the last 6 months.
Use this if you are a healthcare practitioner needing an AI-assisted tool to quickly evaluate a patient's cardiac arrest risk based on their medical information.
Not ideal if you are looking for a diagnostic tool that replaces clinical judgment or provides real-time monitoring during an active cardiac event.
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16
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Language
Python
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Category
Last pushed
May 13, 2025
Commits (30d)
0
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