Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics
暫譯: 應用智慧醫療數據分析中的機器學習方法與應用

在過去的二十年中，機器學習經歷了劇烈的發展，並且仍在快速且持續地改變其範式、方法論、應用及其他方面。本書提供了當前及新興的機器學習範式在醫療資訊學中的彙編，並反映出其多樣性和複雜性。

Abhishek Kumar is Doctorate in computer science from University of Madras and done M.tech in Computer Sci. & Engineering from Government engineering college Ajmer, Rajasthan Technical University, Kota India. He has total Academic teaching experience of more than 7 years with more than 80 publications in reputed, peer reviewed National and International Journals, books & Conferences. He has guided more than 20 M.Tech Projects and Thesis and guiding 2 PhD Scholar. His research area includes- Artificial intelligence, Image processing, Computer Vision, Data Mining, Machine Learning. He has been Session chair and keynote Speaker of many International conferences, webinars in India and Abroad. He has been the reviewer for IEEE and Inderscience Journal. He has authored/Co-Authored 6 books published internationally and edited 16 book (Published & ongoing with Elsevier, Wiley, IGI GLOBAL Springer, Apple Academic Press, De-Grueter and CRC etc. He has been member of various National and International professional societies in the field of engineering & research like Senior Member of IEEE, IAENG (International Association of Engineers), Associate Member of IRED (Institute of Research Engineers and Doctors), He has got Sir CV Raman National award for 2018 in young researcher and faculty Category from IJRP Group. He is Editor of Special issue in the Journal Computer materials and continua [SCI and SCOPUS.IF- 4.98] and Intelligent Automation and Soft Computing [SCI, SCOPUS, IF-1.276] Cognitive Neuro dynamics, Springer [SCI, SCOPUS, IF-3.925].

Ashutosh Kumar Dubey PhD is currently in the department of Computer Science and Engineering, Chitkara University School of Engineering and Technology, Chitkara University, Himachal Pradesh, India. He received his PhD degree in Computer Science and Engineering from JK Lakshmipat University, Jaipur, and Rajasthan, India. He is the Senior Member of IEEE and ACM. He has more than 14 years of teaching experience. He has authored a book name Database Management Concepts. He has been associated with many international and national conferences as the Technical Program Committee member. He is also associated as the Editor/Editorial Board Member/ Reviewer of many peer-reviewed journals. His research areas are Data Mining, Health Informatics, Optimization, Machine Learning, Cloud Computing, Artificial Intelligence and Object-Oriented Programming.

Sreenatha G. Anavatti is a Senior Lecturer with the School of Engineering and Information Technology at the University of New South Wales, Canberra, Australia. He has a Ph.D. from Indian Institute of Science, Bengaluru, India. Before moving to Australia, he was an Associate Professor at Indian Institute of Technology, Mumbai, India. As an established faculty at Indian Institute of Technology, he has contributed to the major National Projects like Indian Remote Sensing Satellite, Light Combat Aircraft and Air to Air Missile. His research work includes the application of AI for autonomous systems that include image processing for improved sensing and GAN based networks for improved classification with imbalanced data sets. In addition, he also works on the application of modern control tools for applications related to Aerospace, Underwater and Ground Vehicles including Evolutionary Fuzzy and Fuzzy Neural Systems for identification and control of dynamic systems. He has authored more than 250 papers in peer reviewed International Journals and International conferences. He has been an active reviewer for a number of high quality journals like IEEE transactions and Technical Committee member for a number of International Conferences like SSCI

Pramod Singh Rathore is pursuing his Doctorate in computer science from University of Engineering and Management (UEM) and done M. Tech in Computer Sci. & Engineering from Government engineering college Ajmer, Rajasthan Technical University, Kota India. He has been working as an Assistant professor of Computer Science & Engineering Department at Aryabhatt Engineering College and Research centre, Ajmer, Rajasthan and also visiting faculty in Government University MDS Ajmer. He has total Academic teaching experience of more than 8 years with more than 50 publications in reputed, peer reviewed National and International Journals, books & Conferences like Wiley, IGI GLOBAL, Taylor & Francis Springer, Elsevier Science Direct, Annals of Computer Science, Poland, and IEEE. He has authored/Co-Authored 6 books published internationally and edited 16 book (Published & ongoing with Elsevier, Wiley, IGI GLOBAL Springer, Apple Academic Press, De-Grueter and CRC etc. His research area includes NS2, Computer Network, Mining, and DBMS.

Abhishek Kumar 擁有馬德拉斯大學的計算機科學博士學位，並在印度拉賈斯坦邦的阿傑梅爾政府工程學院獲得計算機科學與工程的碩士學位。他擁有超過 7 年的學術教學經驗，並在知名的國內外期刊、書籍和會議上發表了超過 80 篇論文。他指導了超過 20 個碩士項目和論文，並正在指導 2 位博士生。他的研究領域包括人工智慧、影像處理、計算機視覺、資料挖掘和機器學習。他曾擔任多個國際會議的會議主席和主題演講者，並在印度及國外的網路研討會中發言。他曾擔任 IEEE 和 Inderscience 期刊的審稿人。他是 6 本國際出版書籍的作者/合著者，並編輯了 16 本書（已出版及正在與 Elsevier、Wiley、IGI GLOBAL、Springer、Apple Academic Press、De-Grueter 和 CRC 等合作）。他是多個國內外工程與研究專業協會的成員，如 IEEE 的高級會員、IAENG（國際工程師協會）和 IRED（研究工程師與醫生協會）的副會員。他獲得了 IJRP 集團頒發的 2018 年 Sir CV Raman 國家獎，屬於年輕研究者和教職員類別。他是《計算材料與連續體》期刊的特刊編輯 [SCI 和 SCOPUS.IF- 4.98]，以及《智能自動化與軟體計算》 [SCI、SCOPUS、IF-1.276] 和《認知神經動力學》，Springer [SCI、SCOPUS、IF-3.925] 的編輯。

Ashutosh Kumar Dubey 博士目前在印度喜馬偕爾邦的 Chitkara 大學工程與技術學院的計算機科學與工程系任教。他在印度斋浦尔的 JK Lakshmipat 大學獲得計算機科學與工程的博士學位。他是 IEEE 和 ACM 的高級會員，擁有超過 14 年的教學經驗。他著有一本名為《資料庫管理概念》的書籍。他曾作為技術程序委員會成員參與多個國際和國內會議，並擔任多本同行評審期刊的編輯/編輯委員會成員/審稿人。他的研究領域包括資料挖掘、健康資訊學、優化、機器學習、雲計算、人工智慧和物件導向程式設計。

Sreenatha G. Anavatti 是澳大利亞新南威爾士大學坎培拉校區工程與資訊技術學院的高級講師。他擁有印度班加羅爾印度科學研究所的博士學位。在移居澳大利亞之前，他曾是印度孟買印度理工學院的副教授。作為印度理工學院的資深教職員，他參與了印度遙感衛星、輕型戰鬥機和空對空導彈等主要國家項目。他的研究工作包括人工智慧在自主系統中的應用，這包括用於改善感測的影像處理和基於生成對抗網路（GAN）的網路，用於改善不平衡數據集的分類。此外，他還研究現代控制工具在航空航天、水下和地面車輛等應用中的應用，包括用於識別和控制動態系統的進化模糊和模糊神經系統。他在同行評審的國際期刊和國際會議上發表了超過 250 篇論文。他曾擔任多本高品質期刊的活躍審稿人，如 IEEE 交易和多個國際會議的技術委員會成員，如 SSCI。

Pramod Singh Rathore 正在印度工程與管理大學（UEM）攻讀計算機科學博士學位，並在印度拉賈斯坦邦的阿傑梅爾政府工程學院獲得計算機科學與工程的碩士學位。他在阿傑梅爾的 Aryabhatt 工程學院及研究中心擔任計算機科學與工程系的助理教授，並在政府大學 MDS 阿傑梅爾擔任訪問教職員。他擁有超過 8 年的學術教學經驗，並在知名的國內外期刊、書籍和會議上發表了超過 50 篇論文，如 Wiley、IGI GLOBAL、Taylor & Francis、Springer、Elsevier Science Direct、波蘭計算機科學年鑑和 IEEE。他是 6 本國際出版書籍的作者/合著者，並編輯了 16 本書（已出版及正在與 Elsevier、Wiley、IGI GLOBAL、Springer、Apple Academic Press、De-Grueter 和 CRC 等合作）。他的研究領域包括 NS2、計算機網路、挖掘和資料庫管理系統（DBMS）。