{"_buckets": {"deposit": "59d6dba6-57f5-41c4-9199-b29cbe29d25b"}, "_deposit": {"created_by": 73, "id": "7758", "owner": "73", "owners": [73], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "7758"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00007758", "sets": ["user-miit"]}, "communities": ["miit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Diagnosis of Lung Cancer Using Classification and Regression Tree", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Many users do decisions about several diseases, and they need methods to decide and know about diseases. Lung cancer that has spread beyond the original tumor is difficult to cure. Eventually, people with lung cancer do develop symptoms. The physical examination is a crucial part of the diagnostic process for any medical problem.  This decision making process classify how the extent of the disease with level for lung cancer. The audit focuses on measuring the care given to lung cancer patients from diagnosis to the primary treatment and bringing about necessary improvements. This system uses classification method CART to diagnose lung cancer. This system generates rules on the lung cancer training dataset by using classification and regression tree (CART) and then rules is used to classify the unknown dataset. The rules extracted from CART are helpful to users in diagnosing lung cancer. CART is suited to the generation of clinical decision rules."}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2021-01-24"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Diagnosis of Lung Cancer Using Classification and Regression Tree.pdf", "filesize": [{"value": "439 KB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 439000.0, "url": {"url": "https://meral.edu.mm/record/7758/files/Diagnosis of Lung Cancer Using Classification and Regression Tree.pdf"}, "version_id": "676a2a44-fc0e-4aa4-84f1-d866c300ba89"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "AICT", "subitem_conference_title": "Proceedings of the fifth conference on applied information and communication technology", "subitem_place": "UCSM, Myanmar", "subitem_website": "www.ucsm.edu.mm"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Me Me Khaing"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Conference paper"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2013-02-06"}, "item_title": "Diagnosis of Lung Cancer Using Classification and Regression Tree", "item_type_id": "21", "owner": "73", "path": ["1582963674932", "1597396989070"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000007758", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2013-02-06"}, "publish_date": "2013-02-06", "publish_status": "0", "recid": "7758", "relation": {}, "relation_version_is_last": true, "title": ["Diagnosis of Lung Cancer Using Classification and Regression Tree"], "weko_shared_id": -1}