Handbook of Deep Learning Models for Healthcare Data Processing: Disease Prediction, Analysis, and Applications
暫譯: 醫療資料處理深度學習模型手冊：疾病預測、分析與應用

近年來，深度學習在包括醫療保健在內的各個領域展現出極大的轉型潛力。隨著每天產生大量的醫療保健資料，迫切需要開發能夠處理與分析這些資料的高效演算法，以改善患者照護與治療成果。

《醫療保健資料處理之深度學習模型手冊：疾病預測、分析與應用》涵蓋醫療保健資料處理、分析與疾病預測中的各類深度學習模型、技術與應用，為此領域提供全面性的概述。本書聚焦於深度學習模型在醫療保健領域的實務應用，並透過真實世界的案例，提供建構、部署模型及加以運用的逐步說明。本手冊探討深度學習模型在醫療保健領域的未來潛在應用，例如精準醫療、個人化治療與臨床決策支援；同時也處理在醫療保健領域使用深度學習模型所涉及的倫理考量，包括隱私、安全性與偏誤。此外，本書提供深度學習模型的技術細節，包括模型架構、訓練方法與最佳化技術，因此對資料科學家與研究人員而言相當實用。

本手冊旨在成為醫療保健專業人員、研究人員與資料分析師的完整指南，對有意使用深度學習模型分析及處理醫療保健資料的讀者而言，是不可或缺的參考書。本書也適合具備機器學習基礎概念，並希望進一步了解醫療保健領域深度學習最新發展的人士。

Prof. (Dr.) Ajay Kumar is currently serving as Professor (Research Track), Department of Mechanical Engineering, School of Core Engineering, Faculty of Science, Technology & Architecture, Manipal University Jaipur, Rajasthan, India. He received his Ph.D. in advanced manufacturing and automation from Guru Jambheshwar University of Science & Technology, Hisar, India after earning a B.Tech. with honors in mechanical engineering and an M.Tech. with distinction in manufacturing and automation. His areas of research include biomedical engineering, incremental sheet forming, artificial intelligence, sustainable materials, robotics and automation, additive manufacturing, mechatronics, smart manufacturing, industry 4.0, industrial engineering systems, waste management, and optimization techniques. He has over 100 publications in international journals of repute including SCOPUS and Web of Science as well as SCI-indexed database and refereed international conferences. He has organized various national and international events including an international conference on mechatronics and artificial intelligence (ICMAI-2021) as conference chair. He had organized an international conference on artificial intelligence, advanced materials, and mechatronics systems (AIAMMS-2023) as conference chair. He has more than 20 national and international patents to his credit. He has supervised more than eight M.Tech and Ph.D. scholars and numerous undergraduate projects/theses; he has a total of 15 years of experience in teaching and research. He has been a guest editor of many reputed journals and has contributed to many international conferences/symposiums as a session chair, expert speaker, and member of the editorial board. He has won several proficiency awards during the course of his career, including merit awards, best teacher awards, and so on. He has also coauthored or coedited more than 15 books and proceedings.

Dr. Deepak Dembla has been the Dean and Head of Department of the School of Computer Applications at JECRC University in Jaipur for the last nine years; he is also the director of internships and of accreditation. He earned his in M.Tech. in IT from Punjabi University Patiala in 2004 and his MCA and Ph.D. from Guru Jambheshwar University. He earned his postgraduate degree in business management in 1996, has total experience of 22 years, and specializes in mobile ad hoc networks, wireless networks, software engineering, cloud computing, AI, & machine learning. He has published 61 research papers in international and national journals and including prestigious international SCI-listed journals and at conferences such as IEEE (Institute of Electrical and Electronics Engineers) and ACM (Association for Computing Machinery). He is on the editorial board of various international journals, has guided a dozen M.Tech. students, and is actively guiding 10 research scholars for their Ph.D. programs. He is associated with various professional international societies (ACM, IEEE, International Association of Engineers, International Association of Computer Science and Information Technology, etc.) and has 10 patents including one in Germany.

Dr. Seema Tinker is a Professor in the Mathematics Department of JECRC University, who has over 22 years of cumulative academic experience. She obtained her Ph.D. in mathematics in 2006 from the University of Rajasthan, Jaipur, India. Her research emphasizes multidisciplinary topics encompassing blockchain, machine learning, deep learning, fluid dynamics, and relativity. She has published over 35 articles in esteemed international publications, including those indexed in Scopus, Web of Science, and SCI, and has presented more than 20 papers at national and international conferences. She examined several journal articles from Web of Science and Scopus. Dr. Tinker has taken part in over 23 workshops, faculty development programs, and short-term courses, including IIT Bombay Foundation Programs in ICT for education, as well as ATM Workshops, and has earned ten certifications in machine and deep learning from leading institutions, including Stanford University and Imperial College London. She has produced three books and has five patents on machine and deep learning topics, one of which has been issued in Germany. Her commitment and ability have been acknowledged via several prizes, including the esteemed "Best Faculty Award" and "Certificate of Excellence." Additionally, she has been appointed as an instructor in reputed academic programs alongside professors from IIT Delhi, IIT Roorkee, and IIT Bombay in the Online Instructional School for Teachers organized by the National Centre for Mathematics. She has also fulfilled roles as session chair, co-chair, member of the organizing committees, reviewer, and keynote speaker at various respected conferences.

Surbhi Bhatia Khan holds a doctorate of computer science and engineering in machine learning and social media analytics. She earned professional certification from the reputed Project Management Institute, United States. She is currently a lecturer in the Department of Data Science, School of Science, Engineering and Environment, University of Salford, Manchester, United Kingdom. She has more than 11 years of academic and teaching experience at different universities and has published 100+ papers in many reputed journals in high indexed outlets as well as authoring or editing 14 books. She has around 12 international patents from India, Australia, and the United States. Dr. Khan has completed research projects funded by the Deanship of Scientific Research, Ministry of Education from Saudi Arabia and India. She recently submitted a UK Research and Innovation project as a co-project investigator with a grant of GBP 400,000 from the Arts and Humanities Research Council. She is also leading a project with Majmah University in Saudi Arabia under a grant of SAR 1.5 million from the King Salman Centre for Disability Research.

Dr. Khan is a senior member of IEEE and a member of IEEE Young Professionals and ACM. She has chaired several international conferences and workshops and has delivered over 20 invited and keynote talks across the globe. She also enjoys a position as adjunct professor at Shoolini University, Himachal Pradesh, India. She is also an academic editor, associate editor, or guest editor for many reputed journals and she received the Research Excellence award from King Faisal University in Saudi Arabia in 2021. Her areas of interest are information systems, sentiment analysis, machine learning, databases, and data science.

Prof. (Dr.) Ajay Kumar 目前擔任印度拉賈斯坦邦齋浦爾 Manipal University Jaipur 科學、技術與建築學院核心工程學院機械工程系研究軌教授。他先取得機械工程榮譽學士（B.Tech.）學位，以及製造與自動化領域優等碩士（M.Tech.）學位，之後於印度 Hisar 的 Guru Jambheshwar University of Science & Technology 取得先進製造與自動化博士學位（Ph.D.）。他的研究領域包括生醫工程、增量板金成形、人工智慧、永續材料、機器人與自動化、積層製造、機電整合、智慧製造、Industry 4.0、工業工程系統、廢棄物管理，以及最佳化技術。他已在包括 Scopus、Web of Science 及 SCI 索引資料庫收錄的知名國際期刊，以及經同儕審查的國際研討會中發表超過 100 篇論文。他曾籌辦多項國內外活動，包括擔任機電整合與人工智慧國際研討會（ICMAI-2021）的會議主席；也曾擔任人工智慧、先進材料與機電整合系統國際研討會（AIAMMS-2023）的會議主席。他目前已取得 20 多項國內外專利。他指導過 8 名以上的 M.Tech. 與 Ph.D. 研究生，以及許多大學生專題／論文；總計擁有 15 年教學與研究經驗。他曾擔任多本知名期刊的客座編輯，並以場次主席、專題演講者及編輯委員會成員等身分，參與多場國際研討會／座談會。他在職業生涯中曾獲得多項專業成就獎，包括績優獎、最佳教師獎等。他也曾合著或共同編輯超過 15 本書籍與會議論文集。

Dr. Deepak Dembla 過去九年一直擔任印度齋浦爾 JECRC University 電腦應用學院院長兼系主任；他同時也是實習計畫及認證工作的主任。他於 2004 年取得印度 Punjabi University Patiala 的資訊科技（IT）M.Tech. 學位，並於 Guru Jambheshwar University 取得 MCA 與 Ph.D. 學位。他於 1996 年取得商業管理研究所學位，總計擁有 22 年工作經驗，專長包括行動隨意網路、無線網路、軟體工程、雲端運算、人工智慧（AI）與機器學習。他已在國內外期刊發表 61 篇研究論文，其中包括知名的國際 SCI 索引期刊；此外，也曾在 IEEE（Institute of Electrical and Electronics Engineers，電機電子工程師學會）及 ACM（Association for Computing Machinery，計算機協會）等國際會議發表論文。他擔任多本國際期刊的編輯委員，已指導十多名 M.Tech. 學生，目前也積極指導 10 名攻讀 Ph.D. 的研究學者。他參與多個國際專業學會，包括 ACM、IEEE、International Association of Engineers、International Association of Computer Science and Information Technology 等，並擁有 10 項專利，其中一項已在德國取得專利權。

Dr. Seema Tinker 是 JECRC University 數學系教授，累積超過 22 年學術經驗。她於 2006 年在印度齋浦爾的 University of Rajasthan 取得數學博士學位。她的研究聚焦於多學科主題，涵蓋區塊鏈、機器學習、深度學習、流體動力學與相對論。她已在知名國際出版品中發表超過 35 篇論文，其中包括 Scopus、Web of Science 與 SCI 索引收錄的出版品，並在國內外研討會發表超過 20 篇論文。她曾審查多篇收錄於 Web of Science 與 Scopus 的期刊論文。Dr. Tinker 曾參與超過 23 場工作坊、教師專業發展計畫及短期課程，包括由 IIT Bombay 主辦的教育資訊與通信科技（ICT）基礎課程，以及 ATM 工作坊；她也取得 10 項機器學習與深度學習認證，授證機構包括 Stanford University 與 Imperial College London 等頂尖學術機構。她已出版 3 本書，並擁有 5 項機器學習與深度學習相關專利，其中一項已在德國取得專利權。她的投入與能力獲得多項獎項肯定，包括享有盛譽的「最佳教師獎」與「卓越證書」。此外，她也獲任命為知名學術課程的講師，與 IIT Delhi、IIT Roorkee 及 IIT Bombay 的教授共同參與由 National Centre for Mathematics 主辦的教師線上教學學校。她也曾在多場知名研討會中擔任場次主席、共同主席、籌備委員會成員、審稿人及主題演講者。

Surbhi Bhatia Khan 擁有電腦科學與工程博士學位，研究專長為機器學習與社群媒體分析。她取得美國知名 Project Management Institute 頒發的專業認證。目前，她是英國曼徹斯特 University of Salford 科學、工程與環境學院資料科學系講師。她在不同大學擁有超過 11 年學術與教學經驗，並已在多本知名期刊及高影響力索引出版品中發表 100 多篇論文，此外也曾撰寫或編輯 14 本書。她在印度、澳洲與美國約擁有 12 項國際專利。Dr. Khan 曾完成由沙烏地阿拉伯與印度教育部科學研究院資助的研究計畫。最近，她以共同計畫主持人身分提交一項 UK Research and Innovation 計畫，獲得 Arts and Humanities Research Council 提供的 400,000 英鎊補助。她目前也正領導一項與沙烏地阿拉伯 Majmah University 合作的計畫，該計畫獲得 King Salman Centre for Disability Research 提供的 150 萬沙烏地里亞爾補助。

Dr. Khan 是 IEEE 資深會員，也是 IEEE Young Professionals 與 ACM 會員。她曾主持多場國際研討會與工作坊，並在全球各地發表超過 20 場受邀演講及主題演講。她目前也擔任印度喜馬偕爾邦 Shoolini University 的兼任教授。此外，她也擔任多本知名期刊的學術編輯、副編輯或客座編輯，並於 2021 年獲得沙烏地阿拉伯 King Faisal University 頒發的研究卓越獎。她的研究興趣包括資訊系統、情感分析、機器學習、資料庫與資料科學。