Advances in Computational Intelligence for Health Informatics and Computer-Aided Diagnosis: Methods, Applications, and Tools
暫譯: 健康資訊學與電腦輔助診斷的計算智慧進展：方法、應用與工具

本書提供了計算智能、健康資訊學與電腦輔助診斷交集的全面概述。書中探討並強調了這些領域中的最新進展、方法論、應用及工具。

Dr A. Malini is an associate professor in the School of Computer Science and Engineering at Vellore Institute of Technology, Chennai, Tamil Nadu. She has 20+ years of teaching experience. She obtained her doctoral degree from Anna University, Chennai. She is a lifetime member of Computer Society of India. She has published 50+ research articles in refereed journals and international/national conferences. She has contributed 20+ chapters to books. She has contributed to three edited books on artificial intelligence (AI) and machine learning. Dr. Malini has contributed voluntarily as a reviewer for reputed international journals and session chair for international conferences. She acted as a mentor and won Smart India Hackathon 2022 held at NIT Assam. She holds two Indian design patents. Her research interests include software engineering, software testing, mobile application development, green computing, Internet of Things (IoT), AI, and machine learning.

Surbhi B. Khan is currently working at the School of Science, Engineering and Environment at University of Salford, United Kingdom. She is listed in the top 2% researchers released by Stanford University, USA. She earned Project Management Professional Certification from the reputed Project Management Institute, USA. She also has an Adjunct Professor position from Chandigarh University, India. She has more than 13 years of academic and teaching experience in different universities. She has published 150+ papers in many reputed journals in high indexed outlets, with many best paper awards. Her areas of interests are sentiment analysis, deep learning/machine learning, and data science in healthcare.

S. Kayalvizhi is an accomplished academician and researcher, currently serving as an Assistant Professor (Senior Grade) in the Department of Electronics and Communication Engineering at SRM University. She holds a Ph.D. in Compressive Sensing and Signal Processing from the SRM Institute of Science and Technology, awarded in 2021. With over 20 years of academic experience, has made significant contributions to the fields of signal processing, machine learning, and healthcare technologies. She has published 40+ papers in renowned international journals and conference proceedings, showcasing her expertise in areas such as deep learning, IoT-based healthcare systems, and AI-driven disease prediction models. She has contributed 10+ chapters to books.

Mo Saraee holds a chair in data science. His research focuses on data science, machine learning, data and text mining, natural language processing (NLP), big data, and medical informatics, addressing multi-disciplinary, cross-school topics with transformative impact and benefiting local communities, with a dedication to action through the real-world application of research, including developing and integrating innovative data mining approaches to improve human health, in collaboration with both Salford City Council and the NHS. His research has been published in leading journals, such as the British Medical Journal, Knowledge- Based Systems, and Neurocomputing. He is the Editor-in-Chief for the International Journal of Web Research.

Dr A. Malini 是印度泰米爾納德邦金奈的維洛爾科技學院計算機科學與工程學院的副教授。她擁有超過20年的教學經驗。她在安娜大學（Anna University）獲得博士學位。她是印度計算機學會的終身會員。她在經過審核的期刊和國際/國內會議上發表了超過50篇研究文章。她為書籍貢獻了超過20章內容，並參與了三本關於人工智慧（AI）和機器學習的編輯書籍。Dr. Malini 自願擔任知名國際期刊的審稿人及國際會議的會議主席。她擔任導師並贏得了在阿薩姆國立科技學院舉辦的2022年智慧印度黑客馬拉松。她擁有兩項印度設計專利。她的研究興趣包括軟體工程、軟體測試、行動應用程式開發、綠色計算、物聯網（IoT）、人工智慧和機器學習。

Surbhi B. Khan 目前在英國薩爾福德大學的科學、工程與環境學院工作。她被列入美國史丹佛大學發布的前2%研究人員名單。她獲得了美國知名的項目管理協會（Project Management Institute）頒發的項目管理專業認證。她還擁有印度昌迪加爾大學的兼任教授職位。她在不同大學擁有超過13年的學術和教學經驗。她在許多高影響力的期刊上發表了超過150篇論文，並獲得多項最佳論文獎。她的研究興趣包括情感分析、深度學習/機器學習和醫療保健中的數據科學。

S. Kayalvizhi 是一位傑出的學者和研究者，目前擔任SRM大學電子與通信工程系的助理教授（高級職級）。她於2021年在SRM科學與技術學院獲得壓縮感知與信號處理的博士學位。擁有超過20年的學術經驗，她在信號處理、機器學習和醫療技術領域做出了重要貢獻。她在知名國際期刊和會議論文集中發表了超過40篇論文，展示了她在深度學習、基於物聯網的醫療系統和人工智慧驅動的疾病預測模型等領域的專業知識。她為書籍貢獻了超過10章內容。

Mo Saraee 擔任數據科學的教授。他的研究專注於數據科學、機器學習、數據和文本挖掘、自然語言處理（NLP）、大數據和醫療信息學，涉及多學科、跨學院的主題，具有變革性影響並惠及當地社區，致力於通過研究的實際應用進行行動，包括開發和整合創新的數據挖掘方法以改善人類健康，並與薩爾福德市議會和國民健康服務（NHS）合作。他的研究已發表在《英國醫學期刊》（British Medical Journal）、《基於知識的系統》（Knowledge-Based Systems）和《神經計算》（Neurocomputing）等領先期刊上。他是《國際網絡研究期刊》（International Journal of Web Research）的主編。