https://github.com/allielynn/heart-failure-
Predicting Heart Failure using LDA
https://github.com/allielynn/heart-failure-
lda medicine python
Last synced: about 2 months ago
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Predicting Heart Failure using LDA
- Host: GitHub
- URL: https://github.com/allielynn/heart-failure-
- Owner: allielynn
- Created: 2025-03-09T19:53:47.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2025-03-09T19:58:26.000Z (about 2 months ago)
- Last Synced: 2025-03-09T20:29:13.697Z (about 2 months ago)
- Topics: lda, medicine, python
- Language: Jupyter Notebook
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Heart-Failure-
Predicting Heart Failure using LDA
This project focuses on predicting heart disease using machine learning models to analyze key clinical predictors. By applying Linear Discriminant Analysis (LDA) and validating its assumptions, we found that heart disease risk follows a primarily linear relationship with factors like ejection fraction, high blood pressure, and time. To enhance interpretability, we used LASSO regression for feature selection, simplifying the model while maintaining predictive accuracy. Comparisons with Random Forest and Gradient Boosting confirmed that complex, non-linear models did not improve performance, reinforcing the effectiveness of a linear approach. These findings highlight the potential for interpretable, data-driven models to assist in clinical risk assessment and patient stratification for heart disease.