https://github.com/ikeasamoahansah/heart-disease-prediction

A logistic regression model to predict the likelihood of heart disease
https://github.com/ikeasamoahansah/heart-disease-prediction

logistic-regression machine-learning

Last synced: 1 day ago
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A logistic regression model to predict the likelihood of heart disease

• Host: GitHub
• URL: https://github.com/ikeasamoahansah/heart-disease-prediction
• Owner: ikeasamoahansah
• License: cc0-1.0
• Created: 2024-02-03T23:20:15.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-03-09T23:52:01.000Z (8 months ago)
• Last Synced: 2024-03-10T00:34:32.239Z (8 months ago)
• Topics: logistic-regression, machine-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 218 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Heart-Disease-Prediction

A logistic regression model to predict the likelihood/chance of heart disease.

### Overview

The dataset is publically available on the Kaggle website, and it is from an ongoing cardiovascular study on residents of the town of Framingham, Massachusetts. The classification goal is to predict whether the patient has 10-year risk of future coronary heart disease (CHD).The dataset provides the patients’ information. It includes over 4,000 records and 15 attributes.

### Credits

Dataset sourced from kaggle.

[Heart Disease Prediction](https://www.kaggle.com/datasets/dileep070/heart-disease-prediction-using-logistic-regression/data)