https://github.com/chahelgupta/hospital-readmission-prediction-and-analysis
The Hospital Readmission Prediction project uses clinical data to predict diabetic readmissions. SVM + SMOTE achieved 61.16% accuracy, with key predictors including hospital stay, lab tests, and medications.
https://github.com/chahelgupta/hospital-readmission-prediction-and-analysis
data-analysis knn-classification logistic-regression machine-learning prediction prediction-model python random-forest-classifier smote svm-classifier
Last synced: about 2 months ago
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The Hospital Readmission Prediction project uses clinical data to predict diabetic readmissions. SVM + SMOTE achieved 61.16% accuracy, with key predictors including hospital stay, lab tests, and medications.
- Host: GitHub
- URL: https://github.com/chahelgupta/hospital-readmission-prediction-and-analysis
- Owner: chahelgupta
- Created: 2025-08-10T14:32:40.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2025-08-10T14:58:52.000Z (2 months ago)
- Last Synced: 2025-08-10T16:33:47.369Z (2 months ago)
- Topics: data-analysis, knn-classification, logistic-regression, machine-learning, prediction, prediction-model, python, random-forest-classifier, smote, svm-classifier
- Language: Jupyter Notebook
- Homepage:
- Size: 1.91 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0