heart-disease-risk-assessment

Here are 3 public repositories matching this topic...

adarsh-n2003 / Heart_Disease_Risk_Assessment

This repository hosts a heart disease risk assessment tool that uses Logistic Regression to evaluate user-input health metrics.

machine-learning data-visualization python-programming logistic-regression data-preprocessing model-deployment streamlit user-interface-development health-metrics heart-disease-risk-assessment

Updated Apr 30, 2024
Python

ughrima / Heart-Disease-Risk-Assessment

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This project is a web application that allows users to assess their risk of heart disease by entering various health metrics. The app uses a machine learning model to predict whether a user is at risk of heart disease based on the input data.

machine-learning random-forest logistic-regression decision-trees support-vector-machines heart-disease-risk-assessment

Updated Jun 17, 2024
Jupyter Notebook

tymepas / DA-Diabetes-Risk-Analysis

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This project analyzes patient health data to predict 10-year heart disease risk using data analytics and machine learning.

python scikit-learn jupyter-notebook eda pandas healthcare logistic-regression diabetes imbalanced-data portfolio-project heart-disease-risk-assessment

Updated Jan 14, 2026
Jupyter Notebook

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