{"_buckets": {"deposit": "695b47c9-840d-4aed-86cb-a0a6083eafed"}, "_deposit": {"created_by": 74, "id": "7431", "owner": "74", "owners": [74], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "7431"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00007431", "sets": ["user-miit"]}, "communities": ["miit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Data Mining Classification Techniques for Cardiovascular Disease Diagnosis", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "To know about Classification Techniques and to propose a model for early detection and correct diagnosis of the disease, which will help the doctor in saving the life of the patient."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Cardiovascular Disease, Classification, Random Forest (RF), Artificial Neural Network (ANN), Support Vector Machine (SVM)"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2021-01-13"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Data Mining Classification Techniques for Cardiovascular Disease Diagnosis.pdf", "filesize": [{"value": "896 KB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 896000.0, "url": {"url": "https://meral.edu.mm/record/7431/files/Data Mining Classification Techniques for Cardiovascular Disease Diagnosis.pdf"}, "version_id": "75ee188e-ea93-47ba-ac43-fe634f3de735"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "No-1", "subitem_journal_title": "Journal of Research and application,UCS (Meiktila)", "subitem_pages": "55", "subitem_volume": "Vol-1"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Hnin Ei Ei Cho"}, {"subitem_authors_fullname": "Nan Yu Hlaing"}]}]}, "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": "2019-12-13"}, "item_title": "Data Mining Classification Techniques for Cardiovascular Disease Diagnosis", "item_type_id": "21", "owner": "74", "path": ["1582963674932", "1597397050488"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000007431", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2021-01-13"}, "publish_date": "2021-01-13", "publish_status": "0", "recid": "7431", "relation": {}, "relation_version_is_last": true, "title": ["Data Mining Classification Techniques for Cardiovascular Disease Diagnosis"], "weko_shared_id": -1}