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dc.contributor.advisorSamad Soltani, Taha
dc.contributor.advisorKhosh Baten, Manoochehr
dc.contributor.authorMaleki, Mahsa
dc.date.accessioned2024-10-02T05:48:16Z
dc.date.available2024-10-02T05:48:16Z
dc.date.issued2024en_US
dc.identifier.urihttps://dspace.tbzmed.ac.ir:443/xmlui/handle/123456789/71322
dc.description.abstractAbstract Introduction Stomach cancer is the fifth most common cancer among cancers and one of the main causes of death in the world.The present study is a decision support system to improve progNsis and early detection gastric cancer in general and high-risk populations. method and materials This research has been done in 3 phases: descriptive, system design, and finally evaluation. First, the risk factors influencing the incidence of stomach cancer through a systematic review study in PubMed, Scopus, Proquest, Web of Science, and search engine databases. Google scholar were identified. Then all the possible rules related to these findings were written and finally the clinical decision support system based on the extracted roles was designed in the Visual Studio environment as a Windows app and in the last phase the evaluation of the system was done. Result and finding In the current research, a review study was conducted to identify the risk factors influencing the occurrence of stomach cancer and after considering the inclusion and exclusion criteria, 36 studies were examined. The authority of the relevant expert was chosen and the important items that were of high importance and were repeated in the articles were selected and confirmed. Finally, the number of 13 factors was determined for writing the rules and designing the system. Conclusion The system is designed to help diagNse stomach cancer in the early stages and encourage referral in high-risk populations, which can be great help in screening and early diagNsis of stomach cancer. Key words: gastric cancer, early diagNsis of cancer, decision support systemen_US
dc.language.isofaen_US
dc.publisherTabriz University of Medical Sciences, School of Management and Medical scienceen_US
dc.relation.isversionofhttps://dspace.tbzmed.ac.ir:443/xmlui/handle/123456789/71455en_US
dc.subjectgastric canceren_US
dc.subjectearly diagNsis of canceren_US
dc.subjectdecision support systemen_US
dc.titleDesigning a Medical Decision Support System for Early Detection of Gastric Canceren_US
dc.typeThesisen_US
dc.contributor.supervisorMohammad Zade, Zeinab
dc.identifier.docno49فen_US
dc.identifier.callno49فen_US
dc.contributor.departmentHITen_US
dc.description.disciplineHITen_US
dc.description.degreeMaster Scienceen_US
dc.citation.epage
dc.citation.epage
dc.citation.reviewerKalankesh, Leila
dc.citation.reviewerRezaei, Peyman


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