[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-571142-105":53,"doc-detail-571142-en":126},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":119,"head_meta":121,"extra_data":123,"updated_unix":125},105,"en","a-study-of-early-disease-prediction-using-iridology-and-datamining-techniques-with-special-reference-to-nafld","A Study of Early Disease Prediction Using Iridology and Datamining Techniques with Special Reference to Nafld","","The paper explores using iridology—the analysis of iris color, texture, shape, and pattern—as an approach for early disease prediction, aiming to improve detection before irreversible stages. It focuses on NAFLD, noting its high global prevalence and the lack of visible symptoms until later disease phases, when invasive interventions are costly. The study argues iridology can enable economic, non-surgical risk prediction and timely lifestyle-based management, and it reviews methodologies and research scope for NAFLD prediction using data mining and machine learning.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":46,"@type":70,"position":76},"https://docshare.wps.com/template/paper-templates/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/a-study-of-early-disease-prediction-using-iridology-and-datamining-techniques-with-special-reference-to-nafld/571142/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/a-study-of-early-disease-prediction-using-iridology-and-datamining-techniques-with-special-reference-to-nafld/571142.png","ImageObject",442,249,{"name":88,"@type":89},"eBook King","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-15","2026-10-13",true,{"@type":98,"interactionType":99,"userInteractionCount":9},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What is the main goal of the study?","Question",{"text":108,"@type":109},"To predict disease at an early stage by using iridology features of the iris, with special reference to NAFLD.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"Why does the paper focus on NAFLD?",{"text":113,"@type":109},"About a quarter of the world’s population is affected, many people are unaware, and diagnosis often occurs only at later stages when treatments are expensive and outcomes are uncertain.",{"name":115,"@type":106,"acceptedAnswer":116},"How does the paper describe the role of iridology in diagnosis?",{"text":117,"@type":109},"It claims that sector-wise changes in iris color, pattern, and pigmentation reflect changes in corresponding body organs, enabling assessment of pre-disease or disease states.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},571142,1792053087,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":45,"category_name":46,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":9,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":8,"language":135,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":61,"update_tm":139,"read_time":79},962088006270,"https://ap-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45","A Study of Early Disease Prediction Using Iridology and Datamining Techniques with Special Reference to Nafld  \n1*L.Mahalakshmi, 2Dr.K.Nandhini  \n1*Research Scholar, Department of Computer Science, Chikkanna Government Arts College, Tiruppur, 641602. 2*Assistant Professor, Department of Computer Science, PSGR Krishnammal College for Women,Coimbatore-641004  \n2Assistant Professor, Department of Computer Science, Chikkanna Government Arts College, Tiruppur, 641602.  \nCorresponding author email:1,[2](2 mahalogu@gmail.com)[ mahalogu@gmail.com](2 mahalogu@gmail.com),[3](3 krishnandhini@gmail.com)[ krishnandhini@gmail.com](3 krishnandhini@gmail.com)  \nOrchid-id:1,20000-0003-2627-9604  \n\n| ARTICLE INFO | ABSTRACT |\n| --- | --- |\n| Received: 24 Dec 2024\u003Cbr>Revised: 22 Jan 2025\u003Cbr>Accepted: 16 Feb 2025 | The human iris is a window of healthy human organs. Utilizing iris for disease prediction constitutes iridology. The iris shows variation in its color, texture, shape, and pattern when disease starts to emerge. If an investigation of iris is done, it's possible to predict the disease atthe very early stage and save human life. Iridology is typically used as a CAM for examining in many western and European countries. Practitioners of iridology use digital versions of iridoscopes and digital iris cameras to examine the iris, and based on their observations, they recommend remedies to address perceived health issues. Our idea is to use iridology methodology to predict deadly NAFLD. The reason for choosing NAFLDis that nearly 25% of the world population is affected by it, and most of the population is unaware of this disease. Since the lung is a self-regenerating organ, NAFLD is unpredictable and diagnosed only at the later stage of disease where surgery or lung transplantation is the treatment for the patient, which is expensive and survival of the patient is not guaranteed. As iridology reflects the healthy condition of the organs and as NAFLD does not show visible symptom till later stage, iridology will be the best method for its early prediction and treat the person economically with knifeless treatment and guarantees the patient survival with simple medication, regular exercise, and a change in diet. This paper summarizes the methodologies used for various disease early prediction with better accuracy using iridology and also shows that there is more research scope for predicting NAFLD using iridology.\u003Cbr>Keywords: Iridology, disease prediction, alternative medicine, data mining techniques, and machine learning algorithms. |\n\nINTRODUCTION  \nIridology  \nThe role played by the eye in the prediction and diagnosis of disease is very vital. This diagnosis is possible by analyzing certain features and changes in the eye. Changes in the health condition are reflected in the eyes because of the collection of blood vessels and nerves. The human iris is a window of healthy human organs. The methodology of using eyes for disease prediction constitutes iridology. Iridology is used to diagnose disease states or pre-disease states of a human organ. It is a CAM [3][8]. A person practicing iridology is called an iridologist. Iridologist does diagnosis by analyzing iris color, pattern, and pigmentation [6]. Disease diagnosis is performed based on the ideology that a particular sector of the iris relates to a certain organ, and changes in a particular sector of the iris indicate changes in that organ.  \nIridology is a practice that claims to diagnose and assess health conditions by examining the patterns, colors, and other characteristics of the iris (the colored part of the eye) . It is based on the belief that each part of the body corresponds to a specific area of the iris and that changes in the body can be detected by observing changes in the  \niris. Although iridology is considered pseudoscientific by the medical community, it continues to be practiced by alternative medicine practitioners around the world.  \nPlace of Origin and Early History  \n","cbCaiptJ00fhejhq","https://ap.wps.com/l/cbCaiptJ00fhejhq","pdf",429883,"English","# Abstract\n# Introduction\n## Iridology\n## Place of Origin and Early History\n## Evolution of Iridology","[{\"question\":\"What is the main goal of the study?\",\"answer\":\"To predict disease at an early stage by using iridology features of the iris, with special reference to NAFLD.\"},{\"question\":\"Why does the paper focus on NAFLD?\",\"answer\":\"About a quarter of the world’s population is affected, many people are unaware, and diagnosis often occurs only at later stages when treatments are expensive and outcomes are uncertain.\"},{\"question\":\"How does the paper describe the role of iridology in diagnosis?\",\"answer\":\"It claims that sector-wise changes in iris color, pattern, and pigmentation reflect changes in corresponding body organs, enabling assessment of pre-disease or disease states.\"}]","A Study of Early Disease Prediction Using Iridology and Datamining Techniques with Special Reference to Nafld | PDF",1791895376]