AI and Data Engineering for Healthcare: Real-World Applications and Case Studies
暫譯: 醫療保健的人工智慧與數據工程：實際應用與案例研究

本書探討人工智慧（AI）和數據工程在革新醫療領域中的變革性角色。它展示了從疾病診斷的預測算法到提升病人結果的大規模數據系統等尖端發展。通過強調AI與數據工程之間的協同作用，本書展示了在醫學影像、臨床診斷和個性化治療策略中的實際應用。

本書還深思熟慮地檢視了倫理考量、數據隱私和醫療公平，特別是在服務不足和農村地區的人口中。

主要特色：

探索醫療領域的最先進技術，包括影像分割、特徵提取、特徵選擇和分類。

提供現實案例研究、實用範例和實作練習，以有效實施AI驅動的解決方案。

跨越計算機科學、數據工程和生物醫學科學的學科，促進跨領域合作。

突顯創新的研究方法及其在AI驅動的醫療系統中的應用。

討論AI在改善不同人群的醫療可及性、服務和結果中的角色。

本書非常適合專業人士、研究人員和政策制定者，旨在通過AI和數據驅動的創新來理解和塑造醫療的未來。

Anjan Bandyopadhyay currently serves as an Assistant Professor-II at the School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar, Odisha, India. He holds a Ph.D. in Computer Science and Engineering from the National Institute of Technology, Durgapur, where his research focused on Algorithmic Mechanism Design in Cloud and Fog Computing. He also earned his M.Tech. in Information Security from NIT Durgapur and his B.Tech. in Computer Science from Asansol Engineering College, affiliated with WBUT. Dr. Bandyopadhyay has over 17 years of academic and research experience across reputed institutions including AMITY University, GITAM University, and Bengal College of Engineering and Technology. His research interests include Algorithmic Game Theory, Cloud and Fog Computing, Metaverse, Quantum Computing, Edge and Health Care Systems, and Autonomous Vehicles.

He has contributed extensively to the scientific community through high-impact journal publications in IEEE Access, IEEE Transactions on Sustainable Computing, Scientific Reports, Mathematics, Sensors, and others. He has also presented his work at premier IEEE conferences. Dr. Bandyopadhyay is the recipient of major research funding under the Visvesvaraya Ph.D. Scheme by the Ministry of Electronics and Information Technology, Government of India, and has been actively involved in innovative patent filings in smart healthcare, automation, and sustainability. In addition to his scholarly contributions, Dr. Bandyopadhyay has collaborated internationally, working with researchers across domains such as Artificial Intelligence, Internet of Things, and Smart Systems. He remains dedicated to fostering academic excellence, interdisciplinary research, and technological innovation in both national and global contexts.

Tanvir Habib Sardar is an Assistant Professor at GITAM University, Bengaluru, India, with over 15 years of teaching and research experience in Big Data, Machine Learning, Distributed Computing, and Fuzzy Sets. He earned his Ph.D. in Computer Science from Visvesvaraya Technological University in 2022. Dr. Sardar has authored or edited seven books and contributed to eight book chapters. He has published more than 40 research papers in reputed SCIE and Scopus-indexed journals and holds 13 patents, including those based on his doctoral work. His recent notable contributions include a 2024 CRC Press book titled Big Data Computing: Advances in Technologies, Methodologies, and Applications, and a Q1 review article in WIREs Data Mining and Knowledge Discovery. He also published a high-impact research article in the Journal of Big Data in 2024. Dr. Sardar is an active reviewer for several international journals and is a lifetime member of multiple professional bodies.

Beyond academics, he has contributed significantly to university-level administration, ERP coordination, curriculum design, student mentoring, and accreditation processes (NAAC, NBA). He is pursuing a post-doctoral fellowship at Astana IT University, Kazakhstan, in the Department of Intelligent Systems and Cybersecurity from March 2025 to March 2026.

Saurav Mallik is currently a Research Scientist in the Department of Pharmacology and Toxicology at The University of Arizona, USA. He previously held postdoctoral positions at Harvard T.H. Chan School of Public Health (2019-2022), University of Texas Health Science Center at Houston (2018-2019), and University of Miami Miller School of Medicine (2017-2018). He earned his Ph.D. in Computer Science & Engineering from Jadavpur University in 2017, with research conducted at the Machine Intelligence Unit, Indian Statistical Institute (ISI), Kolkata. Dr. Mallik has over three years of research experience at ISI, Kolkata, including roles as a Junior Research Fellow under a DST Swarnajayanti project and as a Visiting Scientist.

He also served as a UGC Research Fellow at Jadavpur University and was awarded a prestigious CSIR Research Associateship in 2017. He is currently on leave from his position as Assistant Professor at Mallabhum Institute of Technology, India. He has published over 180 peer-reviewed papers and contributed to more than 20 books with reputed publishers. With over 1,850 citations and an h-index of 22, his work spans bioinformatics, computational biology, data mining, and machine learning. A recipient of multiple awards--including the "Emerging Researcher in Bioinformatics" (2020) and "Young Scientist Award" (2021)--he is an active member of IEEE, AACR, ACM, and BIOCLUES. Dr. Mallik also serves as editor and reviewer for several leading international journals and conferences.

Ruhul Amin Hazarika is currently serving as an Assistant Professor in the Department of Information Technology at the Manipal Academy of Higher Education (MAHE), Bengaluru, India. He obtained his Ph.D. in Information Technology from North-Eastern Hill University (NEHU), Shillong, where his research focused on the classification and staging of Alzheimer's Disease using machine learning and deep learning techniques applied to brain MRI images. He also holds an M.Tech and B.Tech in Information Technology from NEHU.

Dr. Hazarika's primary research interests lie in the areas of Artificial Intelligence, Machine Learning, Deep Learning, and Medical Image Analysis. His contributions include the development of novel deep neural network architectures, feature extraction methods, and hybrid classification frameworks aimed at improving diagnostic accuracy in neurodegenerative disorders. His published work spans high-impact Q1 and Q2 SCIE-indexed journals such as IEEE Access, Journal of King Saud University - Computer and Information Sciences, Journal of Digital Imaging, and Electronics. He has extensive teaching experience in subjects including Computer Organization, Artificial Neural Networks, Python Programming, and AI Applications. Dr. Hazarika's scholarly output includes over nine peer-reviewed journal publications, with a special focus on computational approaches for early detection of Alzheimer's disease. His work is recognized for its innovative use of convolutional and depth-wise separable architectures, as well as performance-driven hybrid models combining DNNs with machine learning classifiers like Random Forests. Dr. Hazarika continues to engage in academic research and mentorship, contributing to the advancement of AI-driven solutions in healthcare and medical diagnostics.

Mahendra Kumar Gourisaria received his bachelor's degree (Hons.) in commerce from Calcutta University, master's degree in computer application from Indira Gandhi National Open University, New Delhi, and M.Tech. degree in computer science and engineering (CSE) from the Biju Patnaik University of Technology, Rourkela. He completed his Ph.D. degree in CSE from Kalinga Institute of Industrial Technology, Deemed to be University, Bhubneswar, Odisha. He has completed ICWAI (intermediate) from the Institute of Cost and Works Accountants of India and DNIIT from NIIT Sahid Nagar, Bhubaneswar. Currently, he is working as an Associate Professor in the School of Computer Engineering, KIIT Deemed to be University. He has an experience of more than 22 years in academia and ten years in research. He has published more than 240 research papers in different book chapters, international journals, and conferences of repute. His Google Scholar citation is more than 2600 with an H-index of 25 and an i10-index of 64. His research interests include cloud computing, machine learning, deep learning, data mining, soft computing, and internet and web technology. He is a member of IAENG and UACEE; and a Life Member of ISTE, CSI, and ISCA. He has received the Research Achievement Award from (IUILA 2024) London Metropolitan University. He has served as an organizing committee member for various conferences and workshops, chaired sessions in many international conferences, and a reviewer for many reputed journals, such as Springer and Hindawi, and many reputed conferences.

安詹·班迪奧帕迪亞（Anjan Bandyopadhyay）目前擔任印度奧里薩邦布巴內斯瓦爾的卡林加工業技術學院（Kalinga Institute of Industrial Technology, KIIT）計算機工程學院的助理教授-II。他擁有國立技術學院（National Institute of Technology, NIT）杜爾卡普爾的計算機科學與工程博士學位，研究重點為雲端與霧計算中的演算法機制設計（Algorithmic Mechanism Design in Cloud and Fog Computing）。他還在NIT杜爾卡普爾獲得資訊安全碩士學位，並在與WBUT相關的阿桑索爾工程學院獲得計算機科學學士學位。班迪奧帕迪亞博士在包括AMITY大學、GITAM大學和孟加拉工程技術學院等知名機構擁有超過17年的學術和研究經驗。他的研究興趣包括演算法遊戲理論、雲端與霧計算、元宇宙、量子計算、邊緣與健康照護系統以及自駕車。

他通過在《IEEE Access》、《IEEE Transactions on Sustainable Computing》、《Scientific Reports》、《Mathematics》、《Sensors》等高影響力期刊上發表的文章，對科學社群做出了廣泛貢獻。他還在多個頂尖的IEEE會議上展示了他的研究成果。班迪奧帕迪亞博士是印度電子與資訊技術部Visvesvaraya博士計畫的主要研究資金獲得者，並積極參與智能健康照護、自動化和可持續性方面的創新專利申請。除了學術貢獻外，班迪奧帕迪亞博士還與人工智慧、物聯網和智能系統等領域的研究人員進行國際合作。他致力於促進學術卓越、跨學科研究和技術創新，無論是在國內還是全球範疇內。

坦維爾·哈比布·薩達爾（Tanvir Habib Sardar）是印度班加羅爾GITAM大學的助理教授，擁有超過15年的大數據、機器學習、分散式計算和模糊集合的教學和研究經驗。他於2022年在維斯維斯瓦拉雅技術大學獲得計算機科學博士學位。薩達爾博士已撰寫或編輯七本書籍，並為八個書章做出貢獻。他在知名的SCIE和Scopus索引期刊上發表了超過40篇研究論文，並擁有13項專利，包括基於其博士研究的專利。他最近的顯著貢獻包括2024年CRC Press出版的書籍《大數據計算：技術、方法和應用的進展》（Big Data Computing: Advances in Technologies, Methodologies, and Applications），以及在《WIREs Data Mining and Knowledge Discovery》上發表的Q1綜述文章。他還在2024年於《Journal of Big Data》發表了一篇高影響力的研究文章。薩達爾博士是多個國際期刊的活躍審稿人，並且是多個專業機構的終身會員。

在學術之外，他在大學層級的行政管理、ERP協調、課程設計、學生輔導和認證過程（NAAC、NBA）方面做出了重要貢獻。他正在哈薩克斯坦阿斯塔納IT大學的智能系統與網絡安全系進行為期一年的博士後研究，時間從2025年3月到2026年3月。

索拉夫·馬利克（Saurav Mallik）目前是美國亞利桑那大學藥理學與毒理學系的研究科學家。他曾在哈佛大學T.H.陳公共衛生學院（2019-2022）、德克薩斯州休斯頓健康科學中心（2018-2019）和邁阿密大學米勒醫學院（2017-2018）擔任博士後職位。他於2017年在賈達夫普爾大學獲得計算機科學與工程博士學位，研究在印度統計學院（ISI）加爾各答的機器智能單位進行。馬利克博士在ISI加爾各答擁有超過三年的研究經驗，包括作為DST Swarnajayanti項目的初級研究員和訪問科學家的角色。

他還曾擔任賈達夫普爾大學的UGC研究員，並於2017年獲得了著名的CSIR研究助理獎學金。他目前正在印度馬拉布姆技術學院擔任助理教授的職位上休假。他已發表超過180篇同行評審的論文，並為20多本知名出版社的書籍做出貢獻。擁有超過1850次引用和22的h指數，他的研究涵蓋生物資訊學、計算生物學、數據挖掘和機器學習。他獲得了多個獎項，包括“生物資訊學新興研究者”（2020）和“青年科學家獎”（2021），並且是IEEE、AACR、ACM和BIOCLUES的活躍成員。馬利克博士還擔任多個國際期刊和會議的編輯和審稿人。

魯胡爾·阿敏·哈扎里卡（Ruhul Amin Hazarika）目前在印度班加羅爾的馬尼帕爾高等教育學院（MAHE）資訊技術系擔任助理教授。他在東北山丘大學（NEHU）西隆獲得資訊技術博士學位，研究重點為使用機器學習和深度學習技術對阿茲海默症進行分類和分期，並應用於腦部MRI影像。他還擁有NEHU的資訊技術碩士和學士學位。

哈扎里卡博士的主要研究興趣在於人工智慧、機器學習、深度學習和醫學影像分析。他的貢獻包括開發新型深度神經網絡架構、特徵提取方法和混合分類框架，旨在提高神經退行性疾病的診斷準確性。他的發表作品涵蓋高影響力的Q1和Q2 SCIE索引期刊，如《IEEE Access》、《沙烏地阿拉伯國王大學計算機與資訊科學期刊》、《數位影像期刊》和《電子學》。他在計算機組織、人工神經網絡、Python程式設計和AI應用等科目擁有豐富的教學經驗。哈扎里卡博士的學術成果包括超過九篇同行評審的期刊出版物，特別專注於阿茲海默症早期檢測的計算方法。他的研究因創新使用卷積和深度可分離架構以及結合DNN與隨機森林等機器學習分類器的性能驅動混合模型而受到認可。哈扎里卡博士繼續參與學術研究和指導，為推進醫療保健和醫學診斷中的AI驅動解決方案做出貢獻。

馬亨德拉·庫馬·高里薩里亞（Mahendra Kumar Gourisaria）在加爾各答大學獲得商業學士學位（榮譽），在新德里的英迪拉·甘地國家開放大學獲得計算機應用碩士學位，並在羅爾凱拉的比朱·帕特奈克技術大學獲得計算機科學與工程（CSE）碩士學位。他在卡林加工業技術學院（Kalinga Institute of Industrial Technology）獲得CSE博士學位。他完成了印度成本與工作會計師協會的ICWAI（中級）課程，並在布巴內斯瓦爾的NIIT Sahid Nagar獲得DNIIT學位。目前，他在KIIT的計算機工程學院擔任副教授，擁有超過22年的學術經驗和10年的研究經驗。他在不同的書籍章節、國際期刊和知名會議上發表了超過240篇研究論文。他的Google Scholar引用次數超過2600，h指數為25，i10指數為64。他的研究興趣包括雲計算、機器學習、深度學習、數據挖掘、軟計算以及互聯網和網絡技術。他是IAENG和UACEE的成員，並且是ISTE、CSI和ISCA的終身會員。他獲得了來自倫敦城市大學（IUILA 2024）的研究成就獎。他曾擔任多個會議和研討會的組織委員會成員，主持多個國際會議的會議，並擔任多個知名期刊（如Springer和Hindawi）及多個知名會議的審稿人。