Soft Computing Techniques in Connected Healthcare Systems
暫譯: 連接健康系統中的軟計算技術

本書探討與醫療保健系統相關的軟計算技術應用，並可作為評估各種技術角色的參考指南。《軟計算技術在連接醫療系統中的應用》介紹了在醫療系統中使用的軟計算技術和應用，以及最新的進展。作者探討了連接醫療的本質，即將電子健康紀錄、行動健康（mHealth）、臨床資訊學、電子數據交換、實踐管理解決方案和藥房管理的互聯互通的實際操作程序相結合。本書重點介紹不同的軟計算技術，如模糊邏輯（fuzzy logic）、人工神經網絡（ANN）和遺傳算法（GA），這些技術將提升連接健康系統中的服務，例如遠程診斷和監測、藥物監測設備、識別和治療疾病的根本原因、改善專家訪問以及降低醫療成本。各章節還探討了描述性、預測性和社交網絡技術，並討論了分析工具及其在提升連接醫療系統服務中的重要角色。最後，作者通過現實案例研究來解決實時挑戰，以增強對主題的理解。本書適合本科生和研究生、研究人員以及連接醫療領域的專業人士。它為初學者提供概述，同時也向行業專業人士強調軟計算方法在連接醫療系統中的重要性。

Moolchand Sharma is currently an Assistant Professor in the Department of Computer Science and Engineering at Maharaja Agrasen Institute of Technology, GGSIPU, Delhi. He has published scientific research publications in reputed International Journals and Conferences, including SCI indexed and Scopus indexed Journals such as Cognitive Systems Research (Elsevier), Physical Communication (Elsevier), Intelligent Decision Technologies: An International Journal, Cyber-Physical Systems (Taylor & Francis Group), International Journal of Image & Graphics (World Scientific), International Journal of Innovative Computing and Applications (Inderscience) & Innovative Computing and Communication Journal (Scientific Peer reviewed Journal). He has authored/co-authored chapters with international publishers like Elsevier, Springer, Wiley, and De Gruyter. He has authored/edited four books with a national/international level publisher (CRC Press, Bhavya Publications). His research area includes Artificial Intelligence, Nature-Inspired Computing, Security in Cloud Computing, Machine Learning, and Search Engine Optimization. He is associated with various professional bodies, such as IEEE, ISTE, IAENG, ICSES, UACEE, Internet Society, Universal Inovators research lab life membership, etc. He possesses teaching experience of more than 10 years. He is the co-convener of ICICC, DOSCI, ICDAM & ICCCN Springer Scopus Indexed conference series and ICCRDA-2020 Scopus Indexed IOP Material Science & Engineering conference series. He is also the organizer and Co-Convener of the International Conference on Innovations and Ideas toward Patents (ICIIP) series. He is also the Advisory and TPC committee member of the ICCIDS-2022 Elsevier SSRN Conference. He is also the reviewer of many reputed journals, such as Springer, Elsevier, IEEE, Wiley, Taylor & Francis Group, IJEECS, and World Scientific Journal, and many springer conferences. He has also served as a session chair in many international Springer conferences. He is currently a doctoral researcher at DCR University of Science and Technology, Haryana. He completed his Post Graduation in 2012 from SRM UNIVERSITY, NCR CAMPUS, GHAZIABAD, and Graduated in 2010 from KNGD MODI ENGG. COLLEGE, GBTU.

Prof. Suman Deswal holds a Ph.D. from DCR University of Science and Technology, Murthal, India. She completed her M.Tech. (CSE) from Kurukshetra University, Kurukshetra, India, and B.Tech. (Computer Science and Engg.) from CR State College of Engg., Murthal, India, in 2009 and 1998, respectively. She possesses 21 years of teaching experience and is presently working as a Professor in the Department of Computer Science and Engineering at DCR University of Science and Technology, Murthal, India. Her research area includes Wireless Networks, Heterogeneous Networks, Distributed Systems, Machine Learning, Deep Learning Approaches, and Bioinformatics. She has many research papers to her credit in reputed journals, including SCI indexed, and Scopus Indexed Journals and conferences. Her publications have more than 143 citations. She is also the reviewer of many reputed journals, such as Springer, Elsevier, IEEE, Wiley, and International IEEE and Springer Conferences. She is a member of IAENG and Computer Society of India (CSI).

Dr. Umesh Gupta is currently an Associate Professor at Bennett University, India. He received a Doctor of Philosophy (Ph.D.) (Machine Learning) from the National Institute of Technology, Arunachal Pradesh, India. He was awarded a gold medal for his Master of Engineering (M.E.) from the National Institute of Technical Teachers Training and Research (NITTTR), Chandigarh, India, and Bachelor of Technology (B.Tech.) from Dr. APJ, Abdul Kalam Technical University, Lucknow, India. His research interests include SVM, ELM, RVFL, Machine Learning, and Deep Learning Approaches. He has published over 35 referred journal and conference papers of international repute. His scientific research has been published in reputable international journals and conferences, including SCI-indexed and Scopus-indexed journals like Applied Soft Computing (Elsevier) and Applied Intelligence (Springer), each of which is a peer-reviewed journal. His publications have more than 158 citations with an h-index of 8 and an i10-index of 8 on Google Scholar as of March 1, 2023. He is a senior Member of IEEE (SMIEEE) and an active member of ACM, CSTA, and other scientific societies. He has also reviewed papers for many scientific journals and conferences in the United States and other foreign countries. He led the sessions at the 6th International Conference (ICICC-2023), 3rd International Conference on Data Analytics and Management (ICDAM 2023), the 3rd International Conference on Computing and Communication Networks (ICCCN 2022), and other international conferences like Springer ETTIS 2022 and 2023. He is currently supervising two Ph.D. students. He is the co-principal investigator (co-PI) of two major research projects. He published three patents in the years 2021-2023. He also published four book chapters with Springer, CRC.

Mujahid Tabassum is a lecturer at Noroff University College (Noroff Accelerate), Kristiansand, Norway. He has completed a Master of Science (Specialization in Computer System Engineering) degree from Halmstad University, Sweden, and a bachelor's degree from the University of Wollongong, Australia. He has worked in various international universities in Malaysia and the Middle East, making his profile well reputed. He has managed and led several student and research projects and published several research articles in well-known SCI journals and Scopus conferences. He is a qualified "Chartered Engineer--CEng" registered with the Engineering Council, UK. He has 13 years of teaching experience. He is a Cisco, Microsoft, Linux, Security, and IoT-certified instructor. His research interests include Computer Networks, AI, Wireless Sensor networks, IoT, Security, and Applications. He has published several Scopus papers, journals, and book chapters. He is a Member of IEEE, a Member of the Institution of Engineering and Technology, a Member of IAENG, a Member of the Australia Computing Society (ACS), and a Member of MBOT Malaysia. He is an active member of the Society of IT Engineers and Researchers, UK.

Dr. Isah A. Lawal was an Erasmus Mundus Joint Doctorate Fellow with over 10 years of professional work experience, including teaching and research. He has participated in several collaborative multidisciplinary research projects at different universities, including in Europe (Italy and United Kingdom) and the Middle East (Saudi Arabia). He has authored several articles in peer-reviewed journals and conferences ranging from data-driven predictive modeling to machine learning for intelligent systems. In addition to actively engaging in research, he has taught Data Mining, Innovative Systems, and Artificial Intelligence courses at both undergraduate and postgraduate levels. Dr. Isah's research interests include the multidisciplinary application of Machine Learning Techniques, Data Mining, and Smart Systems. He has supervised and examined several undergraduate projects and master's thesis in Statistical Data Analysis, Data Visualisation, and Natural Language Processing. Dr. Isah is currently participating in the EEA granted data-driven public administration project as a consultant for the Department for Strategic Development and Coordination of Public Administration, Ministry of the Interior of the Czech Republic. The project involves using big data analytics to analyze public mobility from mobile positioning data to efficiently plan and distribute public services and public administration in the Czech Republic.

**Moolchand Sharma** 目前是德里 Maharaja Agrasen Institute of Technology, GGSIPU 計算機科學與工程系的助理教授。他在多個知名國際期刊和會議上發表了科學研究論文，包括 SCI 和 Scopus 索引的期刊，如 Cognitive Systems Research (Elsevier)、Physical Communication (Elsevier)、Intelligent Decision Technologies: An International Journal、Cyber-Physical Systems (Taylor & Francis Group)、International Journal of Image & Graphics (World Scientific)、International Journal of Innovative Computing and Applications (Inderscience) 及 Innovative Computing and Communication Journal (Scientific Peer reviewed Journal)。他與國際出版商如 Elsevier、Springer、Wiley 和 De Gruyter 合著或編著了多個章節。他與國內外出版社（CRC Press、Bhavya Publications）共同編著了四本書籍。他的研究領域包括人工智慧、自然啟發計算、雲計算安全、機器學習和搜尋引擎優化。他與多個專業機構有關聯，如 IEEE、ISTE、IAENG、ICSES、UACEE、Internet Society、Universal Innovators 研究實驗室終身會員等。他擁有超過 10 年的教學經驗。他是 ICICC、DOSCI、ICDAM 和 ICCCN Springer Scopus 索引會議系列及 ICCRDA-2020 Scopus 索引 IOP 材料科學與工程會議系列的共同召集人。他也是國際專利創新與理念會議 (ICIIP) 系列的組織者和共同召集人。他還是 ICCIDS-2022 Elsevier SSRN 會議的顧問和 TPC 委員會成員。他是多個知名期刊的審稿人，如 Springer、Elsevier、IEEE、Wiley、Taylor & Francis Group、IJEECS 和 World Scientific Journal，以及多個 Springer 會議。他還在多個國際 Springer 會議中擔任會議主席。他目前是哈里亞納 DCR 科學與技術大學的博士研究生。他於 2012 年在 SRM UNIVERSITY, NCR CAMPUS, GHAZIABAD 完成碩士學位，並於 2010 年在 KNGD MODI ENGG. COLLEGE, GBTU 獲得學士學位。

**Prof. Suman Deswal** 擁有印度 DCR 科學與技術大學的博士學位。她於 2009 年在印度庫魯克舍特拉大學獲得 M.Tech. (CSE) 學位，並於 1998 年在印度穆爾塔爾的 CR State College of Engg. 獲得 B.Tech. (計算機科學與工程) 學位。她擁有 21 年的教學經驗，目前在印度 DCR 科學與技術大學的計算機科學與工程系擔任教授。她的研究領域包括無線網絡、異構網絡、分散式系統、機器學習、深度學習方法和生物信息學。她在多個知名期刊上發表了許多研究論文，包括 SCI 和 Scopus 索引的期刊和會議。她的出版物被引用超過 143 次。她也是多個知名期刊的審稿人，如 Springer、Elsevier、IEEE、Wiley 和國際 IEEE 及 Springer 會議。她是 IAENG 和印度計算機學會 (CSI) 的成員。

**Dr. Umesh Gupta** 目前是印度 Bennett University 的副教授。他在印度阿魯納恰爾邦國立技術學院獲得機器學習的哲學博士 (Ph.D.) 學位。他因在印度昌迪加爾國立技術教師培訓與研究院 (NITTTR) 獲得的工程碩士 (M.E.) 學位而獲得金獎，並在印度勒克瑙的 Dr. APJ, Abdul Kalam 技術大學獲得技術學士 (B.Tech.) 學位。他的研究興趣包括 SVM、ELM、RVFL、機器學習和深度學習方法。他已發表超過 35 篇國際知名的期刊和會議論文。他的科學研究已發表在多個知名國際期刊和會議上，包括 SCI 和 Scopus 索引的期刊，如 Applied Soft Computing (Elsevier) 和 Applied Intelligence (Springer)，這些都是經過同行評審的期刊。他的出版物被引用超過 158 次，Google Scholar 的 h-index 為 8，i10-index 為 8（截至 2023 年 3 月 1 日）。他是 IEEE 的高級會員 (SMIEEE)，並且是 ACM、CSTA 和其他科學社團的活躍成員。他還為美國及其他國家的多個科學期刊和會議審稿。他在第六屆國際會議 (ICICC-2023)、第三屆國際數據分析與管理會議 (ICDAM 2023)、第三屆國際計算與通信網絡會議 (ICCCN 2022) 及其他國際會議如 Springer ETTIS 2022 和 2023 中主導了會議。他目前指導兩名博士生。他是兩個重大研究項目的共同首席研究員 (co-PI)。他在 2021-2023 年間發表了三項專利。他還與 Springer 和 CRC 出版了四個書章。

**Mujahid Tabassum** 是挪威 Kristiansand 的 Noroff University College (Noroff Accelerate) 的講師。他在瑞典哈爾姆斯塔德大學獲得計算機系統工程碩士學位，並在澳大利亞伍倫貢大學獲得學士學位。他曾在馬來西亞和中東的多所國際大學工作，使他的履歷備受推崇。他管理和領導了多個學生和研究項目，並在知名的 SCI 期刊和 Scopus 會議上發表了多篇研究文章。他是英國工程委員會註冊的合格特許工程師 (Chartered Engineer--CEng)。他擁有 13 年的教學經驗。他是 Cisco、Microsoft、Linux、安全和物聯網的認證講師。他的研究興趣包括計算機網絡、人工智慧、無線感測器網絡、物聯網、安全和應用。他已發表多篇 Scopus 論文、期刊和書章。他是 IEEE 的成員、工程與技術學會的成員、IAENG 的成員、澳大利亞計算機學會 (ACS) 的成員，以及馬來西亞 MBOT 的成員。他是英國 IT 工程師和研究人員協會的活躍成員。

**Dr. Isah A. Lawal** 曾是 Erasmus Mundus 聯合博士獎學金獲得者，擁有超過 10 年的專業工作經驗，包括教學和研究。他參與了多個跨學科的合作研究項目，涵蓋歐洲（意大利和英國）及中東（沙烏地阿拉伯）的不同大學。他在同行評審的期刊和會議上發表了多篇文章，主題從數據驅動的預測建模到智能系統的機器學習。除了積極參與研究外，他還在本科和研究生層次教授數據挖掘、創新系統和人工智慧課程。Dr. Isah 的研究興趣包括機器學習技術的跨學科應用、數據挖掘和智能系統。他已指導和審查多個本科項目和碩士論文，主題包括統計數據分析、數據可視化和自然語言處理。Dr. Isah 目前參與歐洲經濟區授予的數據驅動公共管理項目，擔任捷克共和國內政部公共管理戰略發展與協調部的顧問。該項目涉及利用大數據分析從移動定位數據分析公共流動性，以有效規劃和分配捷克共和國的公共服務和公共管理。