A Web-Based Decision Support System of Patient Time Prediction Using Iterative Dichotomiser 3 Algorithm

Abstract

The development of the supporting system is an essential component at the hospital. In general, animal hospitals have a similar form of service in human hospitals. The problem is arising because of limited inpatient room of the animal hospital. It can directly affect the quality of service to patients, especially if the number of patients is booming. The implementation of the Decision Support System (DSS) can enhance hospital services section by predicting patient recovery time. It is needed to help staff in arranging available inpatient rooms. We utilize the Iterative Dichotomiser 3 (ID3) algorithm to build a decision tree which is then translated into classification rules. ID3 algorithm is used to classify the variables contained in a patient’s medical record dataset. The results yielded a classification of estimated recovery time into three categories, namely 1-5 days, 6-10 days, and >10 days with 60% testing accuracy. Finally, we develop a prototype based decision tree to display the computation. The system can assist the administrative staff in maximizing inpatient room management, while animal owners can estimate the costs needed.