A Multi-Track Cognition Framework for Global Integrative Medicine: Breaking Paradigm Incommensurability Through System-Level Mapping Across Medical Systems

A Multi-Track Cognition Framework for Global Integrative Medicine: Breaking Paradigm Incommensurability Through System-Level Mapping Across Medical Systems | 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 A Multi-Track Cognition Framework for Global Integrative Medicine: Breaking Paradigm Incommensurability Through System-Level Mapping Across Medical Systems Guanfeng Yang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9030284/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 To address the core challenge in integrative medicine—the semantic incommensurability of heterogeneous medical data arising from divergent cognitive paradigms across medical systems—this paper proposes a multi-track cognition framework for global integrative medicine. Adopting a decoupled design of "flexibly customizable and extensible cognitive tracks with a fixed unified core architecture", this framework constructs exclusive cognitive tracks preserving the native logic for each medical system, takes the homeostatic representation network of multiple dimensions of human eight physiological systems as the general quantitative mediation benchmark, and establishes the system-level mapping relationship constrained by three core rules: cluster correspondence, network emergence, and context dependence, to realize the standardized transformation and system-level fusion of multi-source heterogeneous medical data. Empirical verification shows that the semantic alignment accuracy of this framework reaches 91.27%, the model goodness of fit \({R}^{2}\) ≥0.85 , and the accuracy is improved by 32.14% compared with the traditional single-point linear mapping method. The determination results have a strong consistency with clinical expert judgments, which can provide a feasible and general technical support for basic research of integrative medicine, whole-cycle management of chronic diseases, and individualized health intervention. Integrative & Complementary Medicine Multi-track Cognition System-Level Mapping Integrative Medicine Homeostatic Representation Network Paradigm Incommensurability Global Medical Integration Full Text Additional Declarations The authors declare no competing interests. Regarding the participant consent to publish: This study is a computational modeling and methodological framework study. The clinical case described in this preprint is a hypothetical, illustrative example created solely to demonstrate the application of the proposed multi-track cognition framework. It does not involve any real patient data, identifiable personal information, or actual clinical cases. Therefore, no patient or legal guardian consent was required for the publication of this illustrative example. 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-9030284","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":600666026,"identity":"d1be0280-a0f2-4c7b-8bb8-710c33e37bf3","order_by":0,"name":"Guanfeng Yang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAApklEQVRIiWNgGAWjYBACxoYDIMqGh5+/gTQtaTKSMw6QZtlhG4OGBCLVMjcefvi5cs95HgOGA4wfPuYQ5bBjxpJnnt3mMWduYJacuY0oLQcMJBsO3OaxbDjAxsxLnJbjn382HDjHY3AggWgtZ8yAthwgTUsZ0E3JPJIzDjYT5xfDGcc332w4YGfPz9988MNH4rQcQFhIhHogkCc6nYyCUTAKRsHIBQA8LTvbd6IWBwAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0009-0009-4933-390X","institution":"Foshan Yesheng Health Consulting Co., Ltd.,","correspondingAuthor":true,"prefix":"","firstName":"Guanfeng","middleName":"","lastName":"Yang","suffix":""}],"badges":[],"createdAt":"2026-03-04 12:37:52","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-9030284/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9030284/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":104409454,"identity":"fe2af191-94c1-4498-9184-b802239153c5","added_by":"auto","created_at":"2026-03-11 12:45:08","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":684009,"visible":true,"origin":"","legend":"","description":"","filename":"AMultiTrackCognitionFrameworkforGlobalIntegrativeMedicineBreakingParadigmIncommensurabilityThroughSystemLevelMappingAcrossMedicalSystems.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9030284/v1_covered_eb1aba2c-b6f3-401c-acb0-e5ee990c309c.pdf"}],"financialInterests":"\u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e\n\u003cp\u003eRegarding the participant consent to publish: This study is a computational modeling and methodological framework study. 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