{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T16:53:24Z","timestamp":1770742404284,"version":"3.49.0"},"reference-count":37,"publisher":"Oxford University Press (OUP)","issue":"9","license":[{"start":{"date-parts":[[2022,6,4]],"date-time":"2022-06-04T00:00:00Z","timestamp":1654300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Princess Nourah Bint AbdulRahman University Researchers Supporting Project","award":["PNURSP2022R54"],"award-info":[{"award-number":["PNURSP2022R54"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,9,18]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Disease diagnosis is an exciting task due to many associated factors. Inaccuracy in the measurement of a patient\u2019s symptoms and the medical expert\u2019s expertise has some limitations capacity to articulate cause affects the diagnosis process when several connected variables contribute to uncertainty in the diagnosis process. In this case, a decision support system that can assist clinicians in developing a more accurate diagnosis has a lot of potentials. This work aims to deploy a fuzzy inference-based decision support system to diagnose various diseases. Our suggested method distinguishes new cases based on illness symptoms. Distinguishing symptomatic disorders becomes a time-consuming task in most cases. It is critical to design a system that can accurately track symptoms to identify diseases using a fuzzy inference system (FIS). Different coefficients were used to predict and compute the severity of the predicted diseases for each sign of disease. This study aims to differentiate and diagnose COVID-19, typhoid, malaria and pneumonia. The FIS approach was utilized in this study to determine the condition correlating with input symptoms. The FIS method demonstrates that afflictive illness can be diagnosed based on the symptoms. Our decision support system\u2019s findings showed that FIS might be used to identify a variety of ailments. Doctors, patients, medical practitioners and other healthcare professionals could benefit from our suggested decision support system for better diagnosis and treatment.<\/jats:p>","DOI":"10.1093\/comjnl\/bxac068","type":"journal-article","created":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T19:16:21Z","timestamp":1652210181000},"page":"2169-2180","source":"Crossref","is-referenced-by-count":22,"title":["A Fuzzy Inference-Based Decision Support System for Disease Diagnosis"],"prefix":"10.1093","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7228-0046","authenticated-orcid":false,"given":"Talha Mahboob","family":"Alam","sequence":"first","affiliation":[{"name":"Department of Computer Science and Information Technology, Virtual University of Pakistan , Lahore 44000 , Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2174-3383","authenticated-orcid":false,"given":"Kamran","family":"Shaukat","sequence":"additional","affiliation":[{"name":"School of Information and Physical Sciences, The University of Newcastle , Callaghan 2308 , Australia"},{"name":"Department of Data Science, University of the Punjab , Lahore 54590 , Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7844-9452","authenticated-orcid":false,"given":"Adel","family":"Khelifi","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Technology, Abu Dhabi University , Abu Dhabi , United Arab Emirates"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6042-0283","authenticated-orcid":false,"given":"Hanan","family":"Aljuaid","sequence":"additional","affiliation":[{"name":"Computer Sciences Department, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University (PNU) , PO Box 84428, Riyadh 11671 , Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7348-1373","authenticated-orcid":false,"given":"Malaika","family":"Shafqat","sequence":"additional","affiliation":[{"name":"Department of Data Science, University of the Punjab , Lahore 54590 , Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8433-7185","authenticated-orcid":false,"given":"Usama","family":"Ahmed","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Technology, Virtual University of Pakistan , Lahore 44000 , Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8357-4880","authenticated-orcid":false,"given":"Sadeem Ahmad","family":"Nafees","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Technology, Virtual University of Pakistan , Lahore 44000 , Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6185-6035","authenticated-orcid":false,"given":"Suhuai","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Information and Physical Sciences, The University of Newcastle , Callaghan 2308 , Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2022,6,4]]},"reference":[{"key":"2023091720460919700_ref1","doi-asserted-by":"crossref","first-page":"215","DOI":"10.32604\/cmc.2022.021849","article-title":"ILipo-PseAAC: identification of lipoylation sites using statistical moments and general PseAAC","volume":"71","author":"Baig","year":"2022","journal-title":"Comput. 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