{"_buckets": {"deposit": "18bdad43-7c5a-4de8-a8e8-d359e0b48c35"}, "_deposit": {"created_by": 45, "id": "6180", "owner": "45", "owners": [45], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "6180"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/6180", "sets": ["user-uit"]}, "communities": ["uit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Decision Tree Models for Medical Diagnosis", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Data mining techniques are rapidly developed for many applications. In recent year, Data mining in healthcare is an emerging field research and development of intelligent medical diagnosis system. Classification is the major research topic in data mining. Decision trees are popular methods for classification. In this paper many decision tree classifiers are used for diagnosis of medical datasets.\nAD Tree, J48, NB Tree, Random Tree and Random Forest algorithms are used for analysis of medical dataset. Heart disease dataset, Diabetes dataset and Hepatitis disorder dataset are used to test the decision tree models."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Data mining"}, {"interim": "Classification"}, {"interim": "Decision tree"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-11-17"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Decision Tree Models for Medical Diagnosis.pdf", "filesize": [{"value": "1.3 Mb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 1300000.0, "url": {"url": "https://meral.edu.mm/record/6180/files/Decision Tree Models for Medical Diagnosis.pdf"}, "version_id": "89f29559-d1d8-4c68-85ec-39d857e64624"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "3", "subitem_journal_title": "International Journal of Trend in Scientific Research and Development (IJTSRD)", "subitem_volume": "3"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Aung Nway Oo"}, {"subitem_authors_fullname": "Thin Naing"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Journal article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2019-03-29"}, "item_title": "Decision Tree Models for Medical Diagnosis", "item_type_id": "21", "owner": "45", "path": ["1596102355557"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000006180", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-11-17"}, "publish_date": "2020-11-17", "publish_status": "0", "recid": "6180", "relation": {}, "relation_version_is_last": true, "title": ["Decision Tree Models for Medical Diagnosis"], "weko_shared_id": -1}