[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-128621-en":3,"doc-seo-128621-105":31,"detail-sidebar-cat-0-en-105":92},{"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":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},128621,962084925636,"Olivia Brown","https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d",8,"Research & Report","Cultivating Expertise - Unravelling Type 2 Diabetes Associations through Incremental Knowledge-Based System Development - Ripple Down Rules or Machine Learning","Type 2 diabetes is a chronic condition shaped by the interaction of genetic and environmental factors, with social determinants such as education, occupation, family history, ethnicity, and residence playing a substantial role. Given the growing prevalence of T2D, the study evaluates Ripple Down Rules in comparison with machine learning for the incremental development of a knowledge-based system. The resulting decision support system aims to capture the evolving influence of social determinants, demonstrating strong performance with an accuracy of 90.2% and specificity of 96.9%, and achieving 73.6% sensitivity.","Association for Information Systems  \nAIS Electronic Library (AISeL)  \n\n| ACIS 2023 Proceedings | Australasian (ACIS) |\n| --- | --- |\n| 12-2-2023\u003Cbr>Cultivating Expertise: Unravelling Type 2 Diabetes Associations through Incremental Knowledge-Based System Development: Ripple Down Rules or Machine Learning\u003Cbr>Adel Omar\u003Cbr>University of Technology, Sydney, Australia, [adel.omar@student.uts.edu.au](adel.omar@student.uts.edu.au)\u003Cbr>Ghassan Beydoun\u003Cbr>University of Technology, Sydney, Australia, [Ghassan.Beydoun@uts.edu.au](Ghassan.Beydoun@uts.edu.au)\u003Cbr>Khin Than Win\u003Cbr>University of Wollongong, Australia, [win@uow.edu.au](win@uow.edu.au)\u003Cbr>Nagesh Shukla\u003Cbr>Griffith University, QLD Australia, Australia, [n.shukla@griffith.edu.au](n.shukla@griffith.edu.au)\u003Cbr>Herbert Jelinek\u003Cbr>Khalifa University, [herbert.jelinek@ku.ac.ae](herbert.jelinek@ku.ac.ae)\u003Cbr>See next page for additional authors\u003Cbr>Follow this and additional works at: [https://aisel.aisnet.org/acis2023](https://aisel.aisnet.org/acis2023) |  |\n\nRecommended Citation  \nOmar, Adel; Beydoun, Ghassan; Win, Khin Than; Shukla, Nagesh; Jelinek, Herbert; and Elias, Hector,\"Cultivating Expertise: Unravelling Type 2 Diabetes Associations through Incremental Knowledge-Based System Development: Ripple Down Rules or Machine Learning\" (2023) . ACIS 2023 Proceedings. 96.  \n[https://aisel.aisnet.org/acis2023/96](https://aisel.aisnet.org/acis2023/96)  \nThis material is brought to you by the Australasian (ACIS) at AIS Electronic Library (AISeL) . It has been accepted for inclusion in ACIS 2023 Proceedings by an authorized administrator of AIS Electronic Library (AISeL) . For more information, please [contact](contact elibrary@aisnet.org)[ elibrary@aisnet.org](contact elibrary@aisnet.org).  \nAuthors  \nAdel Omar, Ghassan Beydoun, Khin Than Win, Nagesh Shukla, Herbert Jelinek, and Hector Elias  \nThis article is available at AIS Electronic Library (AISeL): [https://aisel.aisnet.org/acis2023/96](https://aisel.aisnet.org/acis2023/96)  \nCultivating Expertise: Unravelling Type 2 Diabetes Associations through Incremental Knowledge-Based System Development: Ripple Down Rules or Machine Learning  \nSubmission type: Research-in-progress. Adel Omar  \nSchool of Systems, Management and Leadership University of Technology Sydney  \nSydney, Australia [Email : adel.omar@student.uts.edu.au](Email : adel.omar@student.uts.edu.au)  \nKhin Win  \nSchool of Computing and Information Technology  \nWollongong University Wollongong, Australia [Email : win@uow.edu.au](Email : win@uow.edu.au)  \n[Herbert F. Jelinek](Herbert F. Jelinek)  \nDepartment of Biomedical Engineering Khalifa University of Science and Technology Abu Dhabi, UAE [Email: herbert.jelinek@ku.ac.ae](Email: herbert.jelinek@ku.ac.ae)  \nGhassan Beydoun  \nSchool of Systems, Management & Leadership University of Technology Sydney  \nSydney, Australia [Email : ghassan.beydoun@uts.edu.au](Email : ghassan.beydoun@uts.edu.au)  \nNagesh Shukla  \nDepartment of Business Strategy & Innovation Griffith University  \nGriffith, Australia [Email : n.shukla@griffith.edu.au](Email : n.shukla@griffith.edu.au)  \nHector Elias  \nWollongong University College  \nWollongong University Wollongong, Australia [Email: hector@uow.edu.au](Email: hector@uow.edu.au)  \nAbstract  \nType 2 diabetes is a chronic disease that is caused by a combination of genetic and environmental factors, with social determinants playing a significant role. These social determinants include but not limited to factors such as education level, occupation, family history, ethnicity and place of residence etc.  \nThe prevalence of Type 2 diabetes (T2D) necessitates inventive management strategies. This study explores the potential of utilizing Ripple Down Rules (RDR) in comparison with Machine Learning (ML) approaches for the incremental development of a Knowledge-Based System (KBS) . The aim is to create a robust Decision Support System (DSS) for effective T2D management, focusing on the dynamic influence of evolving so","cbCait77Zw9uhw2S","https://ap.wps.com/l/cbCait77Zw9uhw2S","pdf",513084,2,1,13,"English","en",105,"# Abstract\n# Keywords\n# 1 Introduction\n## Incremental development and prior work\n## Comparative focus: RDR vs ML\n## Social determinants and global health impact","[{\"question\":\"What social factors are considered when addressing type 2 diabetes in this study?\",\"answer\":\"The study highlights social determinants including education level, occupation, family history, ethnicity, and place of residence.\"},{\"question\":\"What is the main comparison made in developing the knowledge-based system?\",\"answer\":\"It compares Ripple Down Rules (RDR) with machine learning (ML) approaches for incremental development of a knowledge-based system.\"},{\"question\":\"How is system performance evaluated, and what key metrics are reported?\",\"answer\":\"The work reports accuracy, specificity, and sensitivity, achieving 90.2% accuracy, 96.9% specificity, and 73.6% sensitivity.\"}]","Cultivating Expertise - Unravelling Type 2 Diabetes Associations through Incremental Knowledge-Based System Development - Ripple Down Rules or Machine Learning | PDF",1786002156,33,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":29},"cultivating-expertise-unravelling-type-2-diabetes-associations-through-incremental-knowledge-based-system-development-ripple-down-rules-or-machine-learning-128621","",{"@graph":37,"@context":86},[38,54,69],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,48,51],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":20},"https://docshare.wps.com/document/","Document",{"item":49,"name":12,"@type":44,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":44,"position":53},"https://docshare.wps.com/document/cultivating-expertise-unravelling-type-2-diabetes-associations-through-incremental-knowledge-based-system-development-ripple-down-rules-or-machine-learning-128621/128621/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":24,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":42,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-24","2026-08-06",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"What social factors are considered when addressing type 2 diabetes in this study?","Question",{"text":76,"@type":77},"The study highlights social determinants including education level, occupation, family history, ethnicity, and place of residence.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"What is the main comparison made in developing the knowledge-based system?",{"text":81,"@type":77},"It compares Ripple Down Rules (RDR) with machine learning (ML) approaches for incremental development of a knowledge-based system.",{"name":83,"@type":74,"acceptedAnswer":84},"How is system performance evaluated, and what key metrics are reported?",{"text":85,"@type":77},"The work reports accuracy, specificity, and sensitivity, achieving 90.2% accuracy, 96.9% specificity, and 73.6% sensitivity.","https://schema.org",{"og:url":52,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":52},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":93},[94,98,102,106,111,116,121,124,129,132,136],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":95,"show_sort_weight":96,"slug":97},"Story & Novel",90,"story-novel",{"id":20,"doc_module":4,"doc_module_name":47,"category_name":99,"show_sort_weight":100,"slug":101},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":47,"category_name":103,"show_sort_weight":104,"slug":105},"Exam",70,"exam",{"id":107,"doc_module":4,"doc_module_name":47,"category_name":108,"show_sort_weight":109,"slug":110},5,"Comic",60,"comic",{"id":112,"doc_module":4,"doc_module_name":47,"category_name":113,"show_sort_weight":114,"slug":115},6,"Technology",50,"technology",{"id":117,"doc_module":4,"doc_module_name":47,"category_name":118,"show_sort_weight":119,"slug":120},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":125,"doc_module":4,"doc_module_name":47,"category_name":126,"show_sort_weight":127,"slug":128},9,"Religion & Spirituality",20,"religion-spirituality",{"id":127,"doc_module":4,"doc_module_name":47,"category_name":130,"show_sort_weight":127,"slug":131},"World Cup","world-cup",{"id":133,"doc_module":4,"doc_module_name":47,"category_name":134,"show_sort_weight":133,"slug":135},10,"Lifestyle","lifestyle",{"id":137,"doc_module":4,"doc_module_name":47,"category_name":138,"show_sort_weight":107,"slug":139},19,"General","general"]