[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-127228-en":3,"doc-seo-127228-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":11,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},127228,2336475104042,"Skyler","https://ap-avatar.wpscdn.com/avatar/22000c4c32af1715be0?x-image-process=image/resize,m_fixed,w_180,h_180&k=1786537525561427321",7,"Healthcare","Machine Learning Prediction of Attrition and Cervical Abrasion Using Clinical Images - Paper","Bioinformatics bridges computational methods with the challenges of modern healthcare by enabling robust, data-driven solutions for clinical diagnostics and personalized medicine. The research described develops approaches that combine advanced machine learning algorithms, statistical modeling, and systems biology to detect meaningful patterns across genomic, proteomic, and imaging datasets. The interdisciplinary work aims to improve patient care through precise diagnostics, better therapeutic strategies, and predictive analytics, supported by translational collaboration that integrates computational findings into real clinical practice.","Machine Learning Prediction of Attrition and Cervical Abrasion Using Clinical Images SEEJPH Volume XXVI, S2, 2025, ISSN: 2197-5248; Posted:03-02-2025  \nMachine Learning Prediction of Attrition and Cervical Abrasion Using Clinical  \nImages  \nSheefaa 1, M. Jeevitha 2, Pradeep Kumar Yadalam 3*, Soundharya Manogaran 4,  \nSwarnambiga Ayyachamy 5  \n1Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai,  \nTamilNadu, India. Email: [isheefaa@gmail.com](isheefaa@gmail.com)  \n2Department of Periodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS),  \nSaveetha University, Chennai, Tamil Nadu, [India. Email: jeevitham.sdc@saveetha.com](India. Email: jeevitham.sdc@saveetha.com)  \n3Department of Periodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS),  \nSaveetha University, Chennai, TamilNadu, [India. Email: pradeepkumar.sdc@saveetha.com](India. Email: pradeepkumar.sdc@saveetha.com)  \n4Department of oral biology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS),  \nSaveetha University, Chennai, Tamil Nadu, India. Email: [152432001.sdc@saveetha.com](152432001.sdc@saveetha.com)  \n5Bioinformatics Lab, Department of Biomedical Engineering, Saveetha Engineering, Chennai, TamilNadu, India. [Email: aswarnambiga@gmail.com](Email: aswarnambiga@gmail.com)  \n*Corresponding Author: Pradeep Kumar Yadalam  \nKEYWORDS  \nBioinformatics, Biomedical Engineering, Computational Methodologies, Machine Learning, Personalized Medicine, Systems Biology, Clinical Diagnostics, Predictive Analytics, Genomic and Proteomic Data, Translational Research  \nABSTRACT  \nBioinformatics serves as a bridge between computational methodologies and the intricate challenges of modern healthcare. At the Bioinformatics Lab, Department of Biomedical Engineering, Saveetha Engineering, India, our research led by Swarnambiga Ayyachamy focuses on developing robust data-driven solutions that address critical needs in clinical diagnostics, personalized medicine, and biomedical innovation. By harnessing advanced machine learning algorithms, statistical modeling, and systems biology approaches, we aim to uncover meaningful patterns in genomic, proteomic, and imaging datasets. Our interdisciplinary efforts strive to optimize patient care by informing precise diagnostics, enhancing therapeutic strategies, and enabling predictive analytics in healthcare. Through collaborative projects with clinicians and researchers, the lab emphasizes translational impact—ensuring that computational discoveries are swiftly integrated into real-world clinical applications.  \n1. Introduction  \nA universal problem that occurs predominantly is tooth surface loss. These tooth surface loss can be physiological, mechanical, or chemical-related. Various qualitative and quantitative methods are used to identify the percentage of tooth surface loss. Major tooth surface loss includes attrition and abrasion.[1] Attrition is pathological tooth to tooth wear of dentition caused by bruxism, grinding, or chewing. Abrasion is pathological tooth wear caused by foreign substances commonly seen as a result of tooth brushing. Surface loss gradually increases with age [2], [3] .  \nTooth wear is a major dental concern, involving two main types: attrition and abrasion. Attrition occurs when teeth grind against each other, primarily due to bruxism, an involuntary habit. This can lead to significant loss of enamel and dentin, resulting in a flattened wear pattern on the occlusal surfaces. This can cause increased tooth sensitivity, changes in occlusion, and even temporomandibular joint (TMJ) disorders [4]. Psychological or physical factors can cause bruxism. Over time, attrition can lead to severe dental issues, including exposure to underlying dentin, causing pain and increased susceptibility to d","cbCaiprkLtWCswDh","https://ap.wps.com/l/cbCaiprkLtWCswDh","pdf",240844,3,1,"English","en",105,"# Introduction\n## Tooth surface loss: attrition and abrasion\n## Clinical relevance and early detection\n## Role of machine learning in dentistry","[{\"question\":\"What are attrition and abrasion in the context of tooth wear?\",\"answer\":\"Attrition is pathological tooth wear caused by tooth-to-tooth contact, often linked to bruxism. Abrasion is pathological wear caused by external substances, commonly related to tooth brushing.\"},{\"question\":\"Why is early detection of attrition and cervical abrasion important?\",\"answer\":\"Early detection supports timely treatment, helps prevent severe dental complications, and improves patient outcomes.\"},{\"question\":\"How can machine learning help clinicians in predicting these conditions?\",\"answer\":\"Machine learning can analyze clinical image data to build predictive models that enable more accurate diagnosis and personalized treatment planning, while also reducing diagnostic errors.\"}]","Machine Learning Prediction of Attrition and Cervical Abrasion Using Clinical Images - Paper | PDF",1785937636,18,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"machine-learning-prediction-of-attrition-and-cervical-abrasion-using-clinical-images-paper","",{"@graph":36,"@context":85},[37,53,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,50],{"item":41,"name":42,"@type":43,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":20},"https://docshare.wps.com/document/healthcare/",{"item":51,"name":13,"@type":43,"position":52},"https://docshare.wps.com/document/machine-learning-prediction-of-attrition-and-cervical-abrasion-using-clinical-images-paper/127228/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":23,"description":14,"dateModified":61,"datePublished":62,"encodingFormat":60,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":41,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-08-28","2026-08-05",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What are attrition and abrasion in the context of tooth wear?","Question",{"text":75,"@type":76},"Attrition is pathological tooth wear caused by tooth-to-tooth contact, often linked to bruxism. Abrasion is pathological wear caused by external substances, commonly related to tooth brushing.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Why is early detection of attrition and cervical abrasion important?",{"text":80,"@type":76},"Early detection supports timely treatment, helps prevent severe dental complications, and improves patient outcomes.",{"name":82,"@type":73,"acceptedAnswer":83},"How can machine learning help clinicians in predicting these conditions?",{"text":84,"@type":76},"Machine learning can analyze clinical image data to build predictive models that enable more accurate diagnosis and personalized treatment planning, while also reducing diagnostic errors.","https://schema.org",{"og:url":51,"og:type":87,"og:title":13,"og:site_name":58,"og:description":14},"article",{"robots":89,"canonical":51},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,118,123,128,131,135],{"id":21,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":52,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":116,"slug":117},40,"healthcare",{"id":119,"doc_module":4,"doc_module_name":46,"category_name":120,"show_sort_weight":121,"slug":122},8,"Research & Report",30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]