Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications
暫譯: 醫療領域的知識建模與大數據分析：進展與應用

本書專注於用於醫療應用的自動化分析技術，旨在從大量數據中提取知識。它整合了醫療系統的各種不同面向，並協助醫療專業人員的決策過程。

Mayuri Mehta is a passionate learner, teacher and researcher. She is working as a Professor in the Department of Computer Engineering, Sarvajanik College of Engineering and Technology, Surat, India. She received her Ph.D. in Computer Engineering from Sardar Vallabhbhai National Institute of Technology (SVNIT), India. Her areas of teaching and research include Data Science, Machine Learning & Deep Learning, Health Informatics, Computer Algorithms, and Python Programming. She has worked on several academic assignments in collaboration with professors of universities across the globe. Her 20 years of professional experience includes several academic and research achievements along with administrative and organizational capabilities. She has also co-edited a book titled "Tracking and Preventing Diseases using Artificial Intelligence". With the noble intention of applying her technical knowledge for societal impact, she is working on several research projects in the Healthcare domain in association with doctors doing private practice and doctors of Medical Colleges, which reflect her research outlook. She is an active member of professional bodies such as IEEE, Computer Society of India (CSI) and Indian Society for Technical Education (ISTE).

Kalpdrum Passi received his Ph.D. in Parallel Numerical Algorithms from Indian Institute of Technology, Delhi, India in 1993. He is an Associate Professor, Department of Mathematics & Computer Science, at Laurentian University, Ontario, Canada. He has published many papers on Parallel Numerical Algorithms in international journals and conferences. He has collaborative work with faculty in Canada and US and the work was tested on the CRAY XMP's and CRAY YMP's. He transitioned his research to web technology, and more recently has been involved in machine learning and data mining applications in bioinformatics, social media and other data science areas. His research in bioinformatics has been on improving the accuracy of predicting diseases such as different types of cancer using microarray data. He has published several papers related to prediction of cancer using microarray data and epigenomic data. He obtained funding from NSERC and Laurentian University for his research. He is a member of the ACM and IEEE Computer Society.

Indranath Chatterjee is working as a Professor in the Department of Computer Engineering at Tongmyong University, Busan, South Korea. He received his Ph. D. in Computational Neuroscience from the Department of Computer Science, University of Delhi, Delhi, India. His research areas include Computational Neuroscience, Medical Imaging, Data Science, Machine Learning, and Computer Vision. He is the author of four textbooks on computer science and published numerous scientific articles in renowned international journals and conferences. He is currently serving as a Chief Section Editor of the Neuroscience Research Notes journal and serving as a member of the Advisory board and Editorial board of various international journals and Open-Science organizations worldwide. He is presently working on several projects of government & non-government organizations as PI/co-PI, related to medical imaging and machine learning for a broader societal impact, in collaboration with more than 15 universities globally. He is an active professional member of the Association of Computing Machinery (ACM, USA), Organization of Human Brain Mapping (OHBM, USA), Federations of European Neuroscience Society (FENS, Belgium), International Association of Neuroscience (IAN, India), and International Neuroinformatics Coordinating Facility (INCF, Sweden).

Rajan Patel is currently working as a Professor at Gandhinagar Institute of Technology, Gandhinagar, Gujarat, India. He received a Ph.D. degree in Computer Engineering from R. K. University, Rajkot, India and M.Tech. in Computer Engineering from S. V. National Institute of Technology (NIT), Surat, India. He has more than 16 years of teaching experience in the field of Computer Science and Engineering and research experience mainly in the domain of Networking, Security and Intelligent Applications. He has more than 51 collaborative publications in journals and conferences, and presented 17 articles in National/International conferences including IEEE, Science Direct, Springer, Elsevier. As a coauthor, he has published an edited International book entitled "Data Science and Intelligent Applications" in Springer's LNDECT series. He also worked for ISEAP sponsored MHRD funded project during his Post graduation period at NIT, Surat, India. He is a member of professional bodies CSI, ISTE and UACEE. He has also received numerous awards, honors and certificates of excellence. His main area of interest includes AI, Data Science, and Intelligent Communication and its Security.

Mayuri Mehta 是一位充滿熱情的學習者、教師和研究者。她目前擔任印度蘇拉特的 Sarvajanik 工程與技術學院計算機工程系教授。她在印度 Sardar Vallabhbhai 國立技術學院 (SVNIT) 獲得計算機工程博士學位。她的教學和研究領域包括數據科學、機器學習與深度學習、健康資訊學、計算機算法和 Python 程式設計。她曾與全球各大學的教授合作，參與多個學術任務。她擁有 20 年的專業經驗，包括多項學術和研究成就，以及行政和組織能力。她還共同編輯了一本名為《利用人工智慧追蹤和預防疾病》的書籍。出於將技術知識應用於社會影響的崇高意圖，她正在與從事私人執業的醫生及醫學院的醫生合作，進行多個與醫療保健相關的研究項目，這反映了她的研究視野。她是 IEEE、印度計算機學會 (CSI) 和印度技術教育學會 (ISTE) 等專業機構的活躍成員。

Kalpdrum Passi 於 1993 年在印度德里印度理工學院獲得平行數值算法博士學位。他是加拿大安大略省勞倫森大學數學與計算機科學系的副教授。他在國際期刊和會議上發表了許多有關平行數值算法的論文。他與加拿大和美國的教職員進行合作，並在 CRAY XMP 和 CRAY YMP 上進行測試。他將研究重心轉向網路技術，最近參與了生物資訊學、社交媒體及其他數據科學領域的機器學習和數據挖掘應用。他在生物資訊學方面的研究專注於利用微陣列數據提高對不同類型癌症的預測準確性。他已發表多篇與使用微陣列數據和表觀基因組數據預測癌症相關的論文。他獲得了 NSERC 和勞倫森大學的研究資助。他是 ACM 和 IEEE 計算機學會的成員。

Indranath Chatterjee 目前在南韓釜山的東明大學計算機工程系擔任教授。他在印度德里大學計算機科學系獲得計算神經科學博士學位。他的研究領域包括計算神經科學、醫學影像、數據科學、機器學習和計算機視覺。他是四本計算機科學教科書的作者，並在知名國際期刊和會議上發表了多篇科學文章。他目前擔任《神經科學研究筆記》期刊的首席編輯，並在多個國際期刊和開放科學組織的顧問委員會和編輯委員會中任職。他目前正作為主要研究者/共同研究者，與全球超過 15 所大學合作，進行與醫學影像和機器學習相關的政府及非政府組織項目，以實現更廣泛的社會影響。他是計算機協會 (ACM, USA)、人腦映射組織 (OHBM, USA)、歐洲神經科學學會聯合會 (FENS, Belgium)、國際神經科學協會 (IAN, India) 和國際神經資訊協調機構 (INCF, Sweden) 的活躍專業成員。

Rajan Patel 目前在印度古吉拉特邦的甘地納加爾技術學院擔任教授。他在印度拉傑科特的 R. K. 大學獲得計算機工程博士學位，並在印度蘇拉特的 S. V. 國立技術學院 (NIT) 獲得計算機工程碩士學位。他在計算機科學與工程領域擁有超過 16 年的教學經驗，並在網路、安全和智能應用領域擁有主要的研究經驗。他在期刊和會議上發表了超過 51 篇合作論文，並在包括 IEEE、Science Direct、Springer 和 Elsevier 的國內外會議上發表了 17 篇文章。作為共同作者，他在 Springer 的 LNDECT 系列中出版了一本名為《數據科學與智能應用》的編輯國際書籍。他在印度蘇拉特的 NIT 碩士期間，參與了 ISEAP 贊助的 MHRD 資助項目。他是 CSI、ISTE 和 UACEE 等專業機構的成員，並獲得了多項獎項、榮譽和卓越證書。他的主要研究興趣包括人工智慧、數據科學和智能通信及其安全性。