Predicting Emergency Department Mortality Risk Using Machine Learning Algorithms: Code and Processed Datasets

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Authors: Alemayehu Girma
Cited by: 0

Abstract

This repository contains the source code and processed datasets (including training and testing splits) for the manuscript titled 'Predicting Emergency Department Mortality Risk Using Machine Learning Algorithms.' Contents: Data processing modules 4 Machine Learning algorithm implementations Processed data files: X_train_2_8, X_test_2_8, y_train_2_8, y_test_2_8 Note: The raw clinical dataset (Mydf3223) is not included due to patient privacy regulations but is available upon reasonable request from the author.

Fields of Study & Subjects

Machine Learning in Healthcare Artificial Intelligence in Healthcare Emergency and Acute Care Studies

Publication details

Journal / source
Clinical Case Reports
Publication date
2 February 2026