heart-condition-checker and Heart-Disease

These two tools are competitors, as both are Streamlit web applications designed to predict heart disease using a trained machine learning model, offering similar functionality from independent development efforts.

Heart-Disease
34
Emerging
Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 18/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 14/25
Stars: 11
Forks: 16
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 8
Forks: 3
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About heart-condition-checker

kamilpytlak/heart-condition-checker

Application to predict heart disease using logistic regression

This tool helps individuals understand their potential risk of heart disease based on various personal health factors. By inputting your health details, the application provides a straightforward 'yes' or 'no' prediction regarding the likelihood of a heart condition. It's designed for individuals curious about their heart health status or those seeking an initial, non-diagnostic assessment.

personal-health heart-health risk-assessment health-screening

About Heart-Disease

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.

predictive-health cardiology patient-screening risk-assessment preventative-medicine

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