Predicting Emergency Department Mortality Risk Using Machine Learning Algorithms: Code and Processed Datasets
Predicting Emergency Department Mortality Risk Using Machine Learning Algorithms: Code and Processed Datasets
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.
Emergency Medicine, Mortality Prediction, Clinical Decision Support Systems (CDSS), Public Health, Predictive Machine Learning Model, Electronic Health Records (EHR), Ethiopia, Sub-Saharan Africa, APHREA-DST
Emergency Medicine, Mortality Prediction, Clinical Decision Support Systems (CDSS), Public Health, Predictive Machine Learning Model, Electronic Health Records (EHR), Ethiopia, Sub-Saharan Africa, APHREA-DST
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