{"_buckets": {"deposit": "484543d8-d2a9-44c2-a091-cff0b8c21aac"}, "_deposit": {"id": "3737", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3737"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3737", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Intelligence Answering about Tuberculosis Using Forward Chaining Approach", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "An expert system is a computer based system thatuser knowledge, facts and reasoning techniques tosolve problems that normally require the abilities ofhuman experts. Experts systems for the diagnosis ofthe health problem are set out the fatigue of the roleof the caretaker. In order to build the knowledgebased of the expert system, it has been necessary todesign a model of the problem: once this model isdefined the knowledge based is composed by a set ofrules constructed in logic. This paper is intended todevelop the Rule-based system for diagnosis ofTuberculosis. The knowledge base of an expertsystem is often rule base, the system has a list ofrule which determine what should be done indifferent situations. The rules are called productionrules. Forward chaining is the general concept ofdata-driven reasoning that is, reasoning in within anagent to derive conclusions from incoming percepts,often without a specific query in mind.The purpose of this paper is to support the waythat ensures the most effects of complications. Thisproposal builds a rule-based expert system fordiagnosis of Tuberculosis to give the knowledge ofTuberculosis concepts. It is an effective way andeasily to diagnose the Tuberculosis with relatedtreatment."}]}, "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": "2019-07-29"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "54047.pdf", "filesize": [{"value": "351 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 351000.0, "url": {"url": "https://meral.edu.mm/record/3737/files/54047.pdf"}, "version_id": "823fceed-100a-4a9b-b5c3-d218f27a9815"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fourth 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": "Yin, Nang Sein"}]}]}, "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": "2009-12-30"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1472"}, "item_title": "Intelligence Answering about Tuberculosis Using Forward Chaining Approach", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003737", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-29"}, "publish_date": "2019-07-29", "publish_status": "0", "recid": "3737", "relation": {}, "relation_version_is_last": true, "title": ["Intelligence Answering about Tuberculosis Using Forward Chaining Approach"], "weko_shared_id": -1}