-
RootNode
-
Co-operative College, Mandalay
-
Cooperative College, Phaunggyi
-
Co-operative University, Sagaing
-
Co-operative University, Thanlyin
-
Dagon University
-
Kyaukse University
-
Laquarware Technological college
-
Mandalay Technological University
-
Mandalay University of Distance Education
-
Mandalay University of Foreign Languages
-
Maubin University
-
Mawlamyine University
-
Meiktila University
-
Mohnyin University
-
Myanmar Institute of Information Technology
-
Myanmar Maritime University
-
National Management Degree College
-
Naypyitaw State Academy
-
Pathein University
-
Sagaing University
-
Sagaing University of Education
-
Taunggyi University
-
Technological University, Hmawbi
-
Technological University (Kyaukse)
-
Technological University Mandalay
-
University of Computer Studies, Mandalay
-
University of Computer Studies Maubin
-
University of Computer Studies, Meikhtila
-
University of Computer Studies Pathein
-
University of Computer Studies, Taungoo
-
University of Computer Studies, Yangon
-
University of Dental Medicine Mandalay
-
University of Dental Medicine, Yangon
-
University of Information Technology
-
University of Mandalay
-
University of Medicine 1
-
University of Medicine 2
-
University of Medicine Mandalay
-
University of Myitkyina
-
University of Public Health, Yangon
-
University of Veterinary Science
-
University of Yangon
-
West Yangon University
-
Yadanabon University
-
Yangon Technological University
-
Yangon University of Distance Education
-
Yangon University of Economics
-
Yangon University of Education
-
Yangon University of Foreign Languages
-
Yezin Agricultural University
-
New Index
-
Item
{"_buckets": {"deposit": "2f206bbb-5b51-49f1-8cb9-47734ab0577e"}, "_deposit": {"id": "4581", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4581"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4581", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Ensemble Learning Method for Enhancing Healthcare Classification", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "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."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Ensemble learning"}, {"interim": "Base learners"}, {"interim": "Machine learning"}, {"interim": "Bagging and boosting"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-03-13"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "PauSuanMung.pdf", "filesize": [{"value": "202 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 202000.0, "url": {"url": "https://meral.edu.mm/record/4581/files/PauSuanMung.pdf"}, "version_id": "e397c96d-e708-474c-a967-3a7253bd2223"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Proceedings of the 10th International Workshop on Computer Science and Engineering (WCSE 2020)", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Mung, Pau Suan"}, {"subitem_authors_fullname": "Phyu, Sabai"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2020-02-28"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "978-981-14-4787-7"}, "item_title": "Ensemble Learning Method for Enhancing Healthcare Classification", "item_type_id": "21", "owner": "1", "path": ["1597824175385"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004581", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-03-13"}, "publish_date": "2020-03-13", "publish_status": "0", "recid": "4581", "relation": {}, "relation_version_is_last": true, "title": ["Ensemble Learning Method for Enhancing Healthcare Classification"], "weko_shared_id": -1}
Ensemble Learning Method for Enhancing Healthcare Classification
http://hdl.handle.net/20.500.12678/0000004581
http://hdl.handle.net/20.500.12678/00000045817d985d11-a321-422d-8118-7fff6fb24156
2f206bbb-5b51-49f1-8cb9-47734ab0577e
Name / File | License | Actions |
---|---|---|
![]() |
|
Publication type | ||||||
---|---|---|---|---|---|---|
Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Ensemble Learning Method for Enhancing Healthcare Classification | |||||
Language | en | |||||
Publication date | 2020-02-28 | |||||
Authors | ||||||
Mung, Pau Suan | ||||||
Phyu, Sabai | ||||||
Description | ||||||
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. | ||||||
Keywords | ||||||
Ensemble learning, Base learners, Machine learning, Bagging and boosting | ||||||
Identifier | 978-981-14-4787-7 | |||||
Journal articles | ||||||
Proceedings of the 10th International Workshop on Computer Science and Engineering (WCSE 2020) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |