Prem07a/Heart-Disease
"Coding a Streamlit web app for heart disease prediction using a trained machine learning model."
This tool helps healthcare practitioners or individuals quickly assess the likelihood of heart disease. You input a patient's health metrics like age, sex, cholesterol, and blood pressure, and it outputs a prediction of whether heart disease is likely. It's designed for medical professionals, health consultants, or individuals interested in an initial health screening.
No commits in the last 6 months.
Use this if you need a quick, preliminary assessment of heart disease risk based on common health indicators.
Not ideal if you require a definitive diagnosis or a tool that incorporates complex diagnostic imaging and lab results beyond standard health metrics.
Stars
8
Forks
3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 06, 2024
Commits (30d)
0
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