{"_buckets": {"deposit": "f72099a4-ff51-4a28-9893-2826ebbe518b"}, "_deposit": {"id": "5066", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "5066"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/5066", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Analysis of Weighted Associative Classifier, Naïve Bayesian and Decision Tree Classifierson Heart Disease", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The healthcare system collects largeamounts of healthcare data which unfortunately,are not mined to discover hidden information foreffective decision making. Discovery of hiddenpatterns and relationships often goes unexploited.Data mining techniques can help these conditions.Nowadays, the diagnosis of diseases is a vital andintricate job in medicine. Medical diagnosis isregarded as an important yet complicated taskthat needs to be executed accurately andefficiently. An automatic medical diagnosis systemwould probably be exceedingly beneficial bybringing all of them together. This paper presentsa heart disease prediction models that can assistprofessionals in predicting heart disease statusbased on the clinical data of patients from UCIdata set. It analyzes of some data miningalgorithms such as Weighted AssociativeClassifier (WAC), Naïve Bayesian and DecisionTree Classifiers for making decision of theconditions of heart disease. It enable significantknowledge, e.g patterns, relationships betweenmedical factors related to heart disease. Thispaper shows the prediction accuracy result ofthree classifiers and which classifier are generatemore accurate result than other classifiers andcompares the generated accuracies by usingholdout method. Data mining enable the healthsector to predict patterns in the dataset."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value": []}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-18"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "61_PDFsam_PSC_final proof.pdf", "filesize": [{"value": "137 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 137000.0, "url": {"url": "https://meral.edu.mm/record/5066/files/61_PDFsam_PSC_final proof.pdf"}, "version_id": "555cc992-4d17-4af0-8805-2cbe1bfdc09c"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Eighth Local Conference on Parallel and Soft Computing", "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": "Yee, Hnin Lai"}, {"subitem_authors_fullname": "Myint, Mu Mu"}]}]}, "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": "2017-12-27"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/958"}, "item_title": "Analysis of Weighted Associative Classifier, Naïve Bayesian and Decision Tree Classifierson Heart Disease", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000005066", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-18"}, "publish_date": "2019-07-18", "publish_status": "0", "recid": "5066", "relation": {}, "relation_version_is_last": true, "title": ["Analysis of Weighted Associative Classifier, Naïve Bayesian and Decision Tree Classifierson Heart Disease"], "weko_shared_id": -1}