SIMPLIFIED RULES BASE OBTAINED WITH LOGIC MINIMIZATION METHOD FOR DIAGNOSIS OF MEASLES DISEASE REALIZED WITH EXPERT SYSTEMS
dc.contributor.author | Basciftci, Fatih | |
dc.contributor.author | Hacimurtazaoglu, Murat | |
dc.date.accessioned | 2020-03-26T17:40:08Z | |
dc.date.available | 2020-03-26T17:40:08Z | |
dc.date.issued | 2009 | |
dc.department | Selçuk Üniversitesi | en_US |
dc.description | 4th International Conference on Software and Data Technologies -- JUL 26-29, 2009 -- Sofia, BULGARIA | en_US |
dc.description.abstract | This paper describes a knowledge based system employing certain expert system rules to detect kind of measles disease. A rule based expert system is designed for early diagnosis of measles disease. Simplified rules were used to determine the base of rules. In order to simplify the rules, Boolean simplifying method was used. Front diagnosis plays an effective role in determining and therapy. Front diagnosis gives an easy position to the doctors during the therapy and diagnosis. With an expert system that will be applied as an example before the patient does not come to the doctor, a test will be applied and front information will be taken from the patient. In this study, a logic system was developed to diagnose the measles and diseases showing symptoms similar to the measles. | en_US |
dc.description.sponsorship | Inst Syst & Technologies Informat, Control & Commun, Interdisciplinary Inst Collaborat & Res Enterprise Syst & Technol, Bulgarian Acad Sci, Tech Univ Sofia, Workflow Management Coalit | en_US |
dc.description.sponsorship | Selcuk University's Scientific Research ProjectsSelcuk University | en_US |
dc.description.sponsorship | This work is supported by the Coordinator ship of Selcuk Universitys Scientific Research Projects | en_US |
dc.identifier.endpage | + | en_US |
dc.identifier.isbn | 978-989-674-010-8 | |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.startpage | 341 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12395/23852 | |
dc.identifier.wos | WOS:000281471100051 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION | en_US |
dc.relation.ispartof | ICSOFT 2009: PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON SOFTWARE AND DATA TECHNOLOGIES, VOL 2 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.selcuk | 20240510_oaig | en_US |
dc.subject | Measles disease | en_US |
dc.subject | Expert systems | en_US |
dc.subject | Simplifying logic functions | en_US |
dc.subject | Base of rules | en_US |
dc.title | SIMPLIFIED RULES BASE OBTAINED WITH LOGIC MINIMIZATION METHOD FOR DIAGNOSIS OF MEASLES DISEASE REALIZED WITH EXPERT SYSTEMS | en_US |
dc.type | Conference Object | en_US |