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GitHub / farhanah09 / Hospital-Readmission-Prevention
This GitHub repository contains the code for an algorithm developed as part of a Big Data course at CMU Tepper. The code focuses on using logistic regression as an example to address the challenge of lowering hospital readmission rates through the implementation of a telehealth system.
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 3.41 MB
Dependencies:
6
Created: 11 months ago
Updated: 4 months ago
Last pushed: 4 months ago
Last synced: 4 months ago
Topics: bigdata, logistic, python, regression, sklearn
Files
Dependencies
- matplotlib ==3.7.3
- numpy ==1.25.1
- pandas ==2.0.3
- scikit-learn ==1.3.0
- sklearn ==0.0.post5
- statsmodels ==0.14.0