Exploring Machine Learning and Artificial Intelligence for Sickle Cell Anemia Research: A VOSviewer-Based Bibliometric Analysis

Exploring Machine Learning and Artificial Intelligence for Sickle Cell Anemia Research: A VOSviewer-Based Bibliometric Analysis | 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 Exploring Machine Learning and Artificial Intelligence for Sickle Cell Anemia Research: A VOSviewer-Based Bibliometric Analysis C Subash, K Santhi, Abid Yahya, S Sunil, Buvanashankar C. S, T Chellatamilan This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4789139/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 From the Scopus database,around 36,592 records related to Sickle cell anemia were collected .These 36,592 papers were trimmed down to 7,438,where all the selected papers are open-access papers and are published between 2020 and 2024.This is done for the reason that this research would resonate with current research trends.Furthermore,using filters such as type of article, current stage of publication, the origin of papers’ contributions, relevant keywords, and publishing language,144 papers were selected and used for the bibliometric Analysis.Though these 144 is a small collection of papers, it balances the depth and manageability in our bibliomet-ric analysis while still resonating with current research trends.VOSviewer-Visualizing scientific landscapes, is used for the visualization and the bibliometric to get the critical research trends, thematic clusters, and linkages within the field.Using VOSviewer has let us to discover concealed associations, pinpoint the research banks and also to highlight the prominent researchers and institutes, who are promoting collaborations.With VOSviewer’s super powers on the above entities , coupling it with advanced methodologies like AI/ML has made us reshape the research of Sickle Cell Anemia.Utilizing machine learning for disease severity prediction and setting up treatment pipeline. Artificial Intelligence Bibliometrics Genetic Disorder Hemoglobinopathies Machine Learning Sickle Cell Anemia VOSviewer 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-4789139","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":343134819,"identity":"189f7488-4a6e-41ce-a247-264585115170","order_by":0,"name":"C Subash","email":"","orcid":"","institution":"Research Clinical, Nference.AI, Coimbatore, 641014, Tamilnadu, India","correspondingAuthor":false,"prefix":"","firstName":"C","middleName":"","lastName":"Subash","suffix":""},{"id":343134822,"identity":"817ecd0f-7588-4786-99c8-1a611bb5c89f","order_by":1,"name":"K Santhi","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+UlEQVRIiWNgGAWjYJACZgaDBAY2Bh4Q2wbIAAMJfDoYm5G0pDGwsRGlhSEBSIO1HGaAWYMTyLefPf64oCAtn4//7LEHP3ecT+yTb2D88IPBIg+XFoMzeYnNMwxyLNsk8tINe8/cTmxjY2CW7GGQKMaphSHHsJnHoMKATYLHTIK37bYxyC/SQL8kNuByWP8bqBb+M2aSf9vOgbQw/8anheEG2JYcAzaGHDNp3rYDckAtbHhtMbjxxnA2j0Ea0GFALbJtyUAtiW2WPQb4HJZj8JnnT7KBfD/QYW/b7Hjkmw8fvvGjog63w7AAxgZQsIyCUTAKRsEooAAAAJQcRuuqZyj5AAAAAElFTkSuQmCC","orcid":"","institution":"Vellore Institute of Technology","correspondingAuthor":true,"prefix":"","firstName":"K","middleName":"","lastName":"Santhi","suffix":""},{"id":343134823,"identity":"20f378d3-828b-4fcb-ab70-7f57feabd216","order_by":2,"name":"Abid Yahya","email":"","orcid":"","institution":"Botswana International University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Abid","middleName":"","lastName":"Yahya","suffix":""},{"id":343134824,"identity":"c881e7b0-a337-41a5-b88f-71ff8ed20beb","order_by":3,"name":"S Sunil","email":"","orcid":"","institution":"MVJ Medical College And Research Hospital","correspondingAuthor":false,"prefix":"","firstName":"S","middleName":"","lastName":"Sunil","suffix":""},{"id":343134825,"identity":"5a5f8d38-636d-4e9e-b8f4-6e151022d2a5","order_by":4,"name":"Buvanashankar C. 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