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All Journal Greenation Computer and Information Review (GCIR)
Prio Kustanto
Universitas Bhayangkara Jakarta Raya, Jakarta, Indonesia

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Implementation of a Machine Learning with a Python Programming Approach to Predict the Level of Disease Cases Ridwan; Prio Kustanto
Greenation Computer and Information Review Vol. 1 No. 1 (2024): Greenation Computer and Information Review (October 2024)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gcir.v1i1.337

Abstract

Digital transformation invariably results in the development of data-driven insights. To counteract digital transformation in the health domain, tools that can perform predictive analysis are needed. The use of machine learning to predict the severity of a disease can aid in the prompt formulation of health care policies. Machine learning models employ several techniques in classification algorithms with a framework provided by the Python programming language. In this case, the used data include a dataset that was collected from the Indonesian Health Profile, which includes information on health-related behaviors, health-related laws, and sociodemographic trends. Decision tree modeling has very good accuracy when classifying the severity of illness.
Co-Authors Ridwan