Using Machine Learning To Create a Decision Tree Model To Predict Outcomes of COVID-19 Cases in the Philippines

• Main Authors: Migriño, Julius, Jr, Batangan, Ani Regina U
• 格式: text
• 出版: Archīum Ateneo 2021
• 主題: Epidemiology; Public Health
• 在線閱讀: https://archium.ateneo.edu/asmph-pubs/87; https://ojs.wpro.who.int/ojs/index.php/wpsar/article/view/831
• 機構: Ateneo De Manila University

Objective: The aim of this study was to create a decision tree model with machine learning to predict the outcomes of COVID-19 cases from data publicly available in the Philippine Department of Health (DOH) COVID Data Drop. Methods: The study design was a cross-sectional records review of the DOH CO...