Research on Case-Based Reasoning Based Decision Aid Technology for Disease Predetection Triage

Research on Case-Based Reasoning Based Decision Aid Technology for Disease Predetection Triage | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Research on Case-Based Reasoning Based Decision Aid Technology for Disease Predetection Triage Lin Zhang, Chunling Wang, Haiwen Zhan, Honghai Wang, Ping Qi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6872908/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In recent years, with the continuous development of medical technology, disease predetection and triage has become an important part of modern medical services. If the medical staff's disease predetection and triage of patients is inaccurate or not timely, it is likely to affect or even delay the treatment of patients, and will also bring negative effects and economic losses to the hospital. However, as an important medical resource, the medical experience of doctors needs long-term accumulation and precipitation, and many young medical personnel with junior experience do not have rich medical experience, which makes the efficiency and accuracy of disease predetection triage work cannot be guaranteed. The transformation and application of case-based reasoning technology in artificial intelligence provides the possibility to solve the above problems. The case-based reasoning technology for disease predetection and triage assisted decision making proposed in this paper is a kind of case-based reasoning technology in artificial intelligence, which provides doctors with recommendations for disease predetection and triage by analyzing and learning a large number of case data. This technology can help doctors diagnose diseases more accurately and quickly, improving the quality and efficiency of medical services. Case-Based Reasoning Disease triage Assist decision making Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6872908","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":496047315,"identity":"638dfa91-db40-4cf6-a6ea-d326c802c490","order_by":0,"name":"Lin Zhang","email":"","orcid":"","institution":"Modern Industrial College of Health Care, AnHui SanLian University","correspondingAuthor":false,"prefix":"","firstName":"Lin","middleName":"","lastName":"Zhang","suffix":""},{"id":496047316,"identity":"3f5a4cca-33ea-40fa-8f2d-8990cf48246e","order_by":1,"name":"Chunling Wang","email":"","orcid":"","institution":"Modern Industrial College of Health Care, AnHui SanLian University","correspondingAuthor":false,"prefix":"","firstName":"Chunling","middleName":"","lastName":"Wang","suffix":""},{"id":496047319,"identity":"6bda1579-6b6b-44b7-bd91-5b6e5a8c7d7a","order_by":2,"name":"Haiwen Zhan","email":"","orcid":"","institution":"Modern Industrial College of Health Care, AnHui SanLian University","correspondingAuthor":false,"prefix":"","firstName":"Haiwen","middleName":"","lastName":"Zhan","suffix":""},{"id":496047320,"identity":"62738728-8021-491d-81b1-7f4eab51b452","order_by":3,"name":"Honghai Wang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA20lEQVRIie3PMQuCQBTA8SeCLYKrQuRXOAlc+yp3S9MVjQ5CDqFDWWsfo7HxQHDSWg9y0KWppSWcIkNb9caG+8PBG+7HuwOQyf4wOwCF4e9k6kqJPX+YIAbwIyoqs1SANIdBSzSr2qgCZJQzVvoFoFuceiTQwIi2uJfYuyVmOL0DKi5zTs5jMLP81L+GUcSwloDLqctJpgEyFwPk+mjIuyUrEqoChDdbSNgSECKIN1vIPoEZp1MTZ6k++Bf7QJ2qfiVgHanzrD1/YkTxwMO61kE36ELXZTKZTNbfB5PkUL+mb1wXAAAAAElFTkSuQmCC","orcid":"","institution":"ChaoHu University","correspondingAuthor":true,"prefix":"","firstName":"Honghai","middleName":"","lastName":"Wang","suffix":""},{"id":496047322,"identity":"b0bde1af-9c79-46b5-8704-396658b68206","order_by":4,"name":"Ping Qi","email":"","orcid":"","institution":"Tongling University","correspondingAuthor":false,"prefix":"","firstName":"Ping","middleName":"","lastName":"Qi","suffix":""}],"badges":[],"createdAt":"2025-06-11 14:38:21","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6872908/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6872908/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":88960289,"identity":"d560d0b4-e9d4-4ad0-8098-dd6173129bcd","added_by":"auto","created_at":"2025-08-13 07:54:53","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":395921,"visible":true,"origin":"","legend":"","description":"","filename":"ResearchonCaseBasedReasoningBasedDecisionAidTechnologyforDiseasePredetectionTriage.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6872908/v1_covered_3ae07424-8b5a-4875-a67d-95582f986223.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Research on Case-Based Reasoning Based Decision Aid Technology for Disease Predetection Triage","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Case-Based Reasoning, Disease triage, Assist decision making","lastPublishedDoi":"10.21203/rs.3.rs-6872908/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6872908/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn recent years, with the continuous development of medical technology, disease predetection and triage has become an important part of modern medical services. 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