Design and Development of a Model for Tennis Elbow Injury Prediction and Prevention Using Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) Approaches

Design and Development of a Model for Tennis Elbow Injury Prediction and Prevention Using Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) Approaches | 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 Design and Development of a Model for Tennis Elbow Injury Prediction and Prevention Using Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) Approaches Heena Patel, Himanshu K Patel, Ashish Sharma, Sumit Srivastava This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6159296/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 07 Oct, 2025 Read the published version in BMC Musculoskeletal Disorders → Version 1 posted 11 You are reading this latest preprint version Abstract Purpose Lateral epicondylitis, commonly referred to as tennis elbow, is a frequent sports injury that poses diagnostic and management challenges. This study aims to enhance the understanding of tennis elbow mechanisms and identify key factors influencing its development. Players often self-treat and delay medical intervention, exacerbating the condition. Method This research introduces a novel approach integrating Design of Experiments (DoE) with Response Surface Methodology (RSM) and an Expert System (ES) using both Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) for personalized injury prevention recommendations. This combined methodology provides valuable insights and empowers players to adopt safer playing practices, potentially reducing tennis elbow incidence. Comprehensive education for athletes, coaches, and physicians on tennis elbow management is emphasized for early diagnosis and improved treatment outcomes. Result After analysis of computing model, 99% accuracy has been achieved using ANFIS approach for tennis elbow injury prediction. The accuracy has been analyzed after prediction through multi model along with training, validation and testing of the data. Conclusion The proposed work not only offers a deeper understanding of the factors influencing tennis elbow risk but also provides personalized preventive strategies through the expert system. Tennis Elbow Lateral Epicondylitis AI Machine Learning ANN ANFIS Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 07 Oct, 2025 Read the published version in BMC Musculoskeletal Disorders → Version 1 posted Editorial decision: Revision requested 13 Jun, 2025 Reviews received at journal 11 Jun, 2025 Reviewers agreed at journal 09 Jun, 2025 Reviewers agreed at journal 09 Jun, 2025 Reviews received at journal 14 May, 2025 Reviewers agreed at journal 03 May, 2025 Reviewers invited by journal 28 Mar, 2025 Editor assigned by journal 26 Mar, 2025 Editor invited by journal 25 Mar, 2025 Submission checks completed at journal 25 Mar, 2025 First submitted to journal 25 Mar, 2025 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. 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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-6159296","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":439774877,"identity":"c66f9508-5ac5-4f6c-8194-6d2204df4038","order_by":0,"name":"Heena Patel","email":"","orcid":"","institution":"Nirma University","correspondingAuthor":false,"prefix":"","firstName":"Heena","middleName":"","lastName":"Patel","suffix":""},{"id":439774878,"identity":"2679bc99-14f1-4087-9a4f-34ac2f123d24","order_by":1,"name":"Himanshu K Patel","email":"","orcid":"","institution":"Nirma University","correspondingAuthor":false,"prefix":"","firstName":"Himanshu","middleName":"K","lastName":"Patel","suffix":""},{"id":439774879,"identity":"cdaaf2bc-0eeb-423e-826d-f3b6be95e459","order_by":2,"name":"Ashish Sharma","email":"","orcid":"","institution":"Manipal University Jaipur","correspondingAuthor":false,"prefix":"","firstName":"Ashish","middleName":"","lastName":"Sharma","suffix":""},{"id":439774880,"identity":"0780787d-7c54-45d5-a564-2666a4030a9d","order_by":3,"name":"Sumit Srivastava","email":"data:image/png;base64,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","orcid":"","institution":"Manipal University Jaipur","correspondingAuthor":true,"prefix":"","firstName":"Sumit","middleName":"","lastName":"Srivastava","suffix":""}],"badges":[],"createdAt":"2025-03-05 06:08:19","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6159296/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6159296/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s12891-025-09174-x","type":"published","date":"2025-10-07T15:57:06+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":93419625,"identity":"098ed978-8031-421c-a086-c8185981f741","added_by":"auto","created_at":"2025-10-13 16:04:20","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":969473,"visible":true,"origin":"","legend":"","description":"","filename":"ANFISupdated2.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6159296/v1_covered_da6246f9-88ab-4a05-9fbe-ef7f197b8f71.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Design and Development of a Model for Tennis Elbow Injury Prediction and Prevention Using Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) Approaches","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-musculoskeletal-disorders","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bmsd","sideBox":"Learn more about [BMC Musculoskeletal Disorders](http://bmcmusculoskeletdisord.biomedcentral.com/)","snPcode":"","submissionUrl":"https://author-welcome.nature.com/12891","title":"BMC Musculoskeletal Disorders","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Tennis Elbow, Lateral Epicondylitis, AI, Machine Learning, ANN, ANFIS","lastPublishedDoi":"10.21203/rs.3.rs-6159296/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6159296/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003ePurpose\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eLateral epicondylitis, commonly referred to as tennis elbow, is a frequent sports injury that poses diagnostic and management challenges. 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