2026-09-21T12:42:02Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4581 2021-12-13T03:31:01Z 1582963302567:1597824175385 user-ucsy

Ensemble Learning Method for Enhancing Healthcare Classification Mung, Pau Suan Phyu, Sabai Ensemble learning technique is proposed in this paper for better efficiency of healthcareclassification and prediction. Healthcare industry is an ever-increasing rise in the number of doctors, patients,medicines and medical records. Medical history records are beneficial for not only individual but also humansociety. Three popular machine learning algorithms, namely Naïve Bayes, Support Vector Machine andDecision Tree are applied on this history data as base learners. Two forms of ensemble learning namelybagging and boosting are applied with each base learner for better accuracy than using individually.Comparison results are presented and the experiments show that ensemble classifiers perform better than thebase classifier alone. Cervical cancer dataset is used as case study. 2020-02-28 http://hdl.handle.net/20.500.12678/0000004581 https://meral.edu.mm/records/4581