[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-125059-en":3,"doc-seo-125059-105":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":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"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},125059,1099514068035,"Ezra","https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c",8,"Research & Report","Advanced Machine Learning for Data-driven Disease Prediction - PhD Dissertation","The dissertation addresses how advanced machine learning can support data-driven disease prediction amid rapid growth in sensing and information technologies. It focuses on building and improving predictive models that translate large-scale, heterogeneous data into clinically meaningful risk assessments. The work emphasizes methodological rigor, aiming for improved accuracy and robustness across disease-relevant settings. It also documents academic contributions and validation within the Doctor of Philosophy requirements at the University of Tennessee, Knoxville.","University of Tennessee, Knoxville  \nTRACE: Tennessee Research and Creative Exchange  \n\n| Doctoral Dissertations | Graduate School |\n| --- | --- |\n| 8-2024\u003Cbr>Advanced Machine Learning for Data-driven Disease Prediction\u003Cbr>Zekai Wang\u003Cbr>[zwang142@vols.utk.edu](zwang142@vols.utk.edu)\u003Cbr>Follow this and additional works at: [https://trace.tennessee.edu/utk_graddiss](https://trace.tennessee.edu/utk_graddiss)\u003Cbr> Part of the Industrial Engineering Commons |  |\n\nRecommended Citation  \nWang, Zekai, \"Advanced Machine Learning for Data-driven Disease Prediction. \" PhD diss., University of Tennessee, 2024.  \n[https://trace.tennessee.edu/utk_graddiss/10524](https://trace.tennessee.edu/utk_graddiss/10524)  \nThis Dissertation is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [trace@utk.edu](trace@utk.edu).  \nTo the Graduate Council:  \nI am submitting herewith a dissertation written by Zekai Wang entitled \"Advanced Machine Learning for Data-driven Disease Prediction.\" I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Industrial Engineering.  \nBing Yao, Major Professor  \nWe have read this dissertation and recommend its acceptance: Xueping Li, Anahita Khojandi, Lan Gao  \nAccepted for the Council: Dixie L. Thompson  \nVice Provost and Dean of the Graduate School  \n(Original signatures are on file with official student records.)  \nTo the Graduate Council:  \nI am submitting herewith a dissertation written by Zekai Wang entitled “Advanced Machine Learning for Data-driven Disease Prediction.” I have examined the final paper copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Industrial and Systems Engineering.  \nBing Yao, Major Professor  \nWe have read this dissertation and recommend its acceptance:  \n\n| Xueping Li |\n| --- |\n| Anahita Khojandi |\n\nLan Gao  \nAccepted for the Council:  \nDixie L. Thompson  \nVice Provost and Dean of the Graduate School  \nTo the Graduate Council:  \nI am submitting herewith a dissertation written by Zekai Wang entitled “Advanced Machine Learning for Data-driven Disease Prediction.” I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Industrial and Systems Engineering.  \nBing Yao, Major Professor  \nWe have read this dissertation and recommend its acceptance:  \nXueping Li  \n\n| Anahita Khojandi |\n| --- |\n| Lan Gao |\n\nAccepted for the Council: Dixie L. Thompson  \nVice Provost and Dean of the Graduate School  \n(Original signatures are on file with official student records.)  \nAdvanced Machine Learning for  \nData-driven Disease Prediction  \nA Dissertation Presented for the Doctor of Philosophy Degree  \nThe University of Tennessee, Knoxville  \nZekai Wang  \nAugust 2024  \n© by Zekai Wang, 2024 All Rights Reserved.  \nii  \nTo My Dear Parents Guixiang Wang and Yulan Liang  \nTo My Beloved Wife Yicheng Du  \nAcknowledgements  \nI am deeply grateful to the many individuals who have supported me throughout the journey of completing my dissertation.  \nFirst and foremost, I would like to express my profound gratitude to my advisor, Dr. Bing Yao. Under your guidance, I have grown from a novice researcher to a competent and confident scholar. Your mentorship has been invaluable, providing me with the skills, knowledge, and inspiration to pursue rigorous and impactful research. Your patience, insightful feedback, and unwavering support have been cr","cbCaibNSMfPgefLk","https://ap.wps.com/l/cbCaibNSMfPgefLk","pdf",20700858,1,195,"English","en",105,"# Acknowledgements\n## Abstract\n# Dissertation Overview\n## Title Page Information\n## Acceptance and Committee Signatures","[{\"question\":\"What is the dissertation's main topic?\",\"answer\":\"The dissertation studies advanced machine learning methods for data-driven disease prediction.\"},{\"question\":\"Which degree and field is the dissertation submitted for?\",\"answer\":\"It is submitted for the Doctor of Philosophy degree with a major in Industrial Engineering (and related Industrial and Systems Engineering language appears in the acceptance text).\"},{\"question\":\"Who are the key academic contributors acknowledged and listed in the acceptance section?\",\"answer\":\"The document acknowledges the advisor Bing Yao and lists committee members including Xueping Li, Anahita Khojandi, and Lan Gao, along with other named faculty in the acceptance and acknowledgements text.\"}]","Advanced Machine Learning for Data-driven Disease Prediction - 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