Artificial Intelligence for Smart Healthcare

ISBN-13: 9783031236013 / Angielski / Twarda / 2023

Parul Agarwal; Kavita Khanna; Ahmed A. Elngar

Opis

This book provides information on interdependencies of medicine and telecommunications engineering and how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear-cut views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare.  Authors include researchers, academics, and professionals in the field.

Spis treści

Introduction.- Section–1: Fundamentals.- Introduction to Technologies for Smart healthcare         .- Drivers and inhibitors of AI in Smart Healthcare.- Current scenario of healthcare compared with smart healthcare.- Section-2: Technologies for Smart healthcare.- Big data analytics in healthcare.- Deep Learning/ Machine learning based diagnostic model for personalized healthcare.- Disease diagnosis and treatment using AI.- AI in medical devices: development and usage, challenges and future frontiers.- AI and drug discovery.- Predictive modelling for diseases and pandemics.- Robotics and AI.- IoT/ IoE based architecture for healthcare.- Advances in M-Health and E-Health.- Emerging trends, paradigms and technologies in smart healthcare.- Section- 3: Challenges and solutions.- Security and Privacy of medical Data/ electronic health records.- Ethical and legal implications of AI driven healthcare.- Strategies and policies as solutions to the existing challenges.- Section 4: Practical aspect.- Case study on Covid-19.- Conclusion.

O autorze

Parul Agarwal is associated with Jamia Hamdard since 2002. She is currently an Associate Professor at Department of Computer Science and Engineering. Her area of specialization includes Fuzzy Data Mining, Cloud Computing, Sustainable computing, and Soft Computing. Her particular interest includes applications of Sustainable Computing in Agriculture, transportation, and health care. She has published several papers in reputed and SCI, Scopus, and Elsevier indexed journals and many book chapters published by CRC Press, Springer, and IGI-Global are to her credit. She is the Editor of three published edited volumes with reputed publishers: CRC Press (Taylor and Francis), and two books with Springer. Both the books with Springer are SCOPUS indexed. She has chaired several sessions of International/ National Conferences of repute. She has delivered several lectures/talks at the national and international level. Currently, several Ph.D. Scholars are working under her supervision in the field of Brain Signaling, Energy minimization in the Cloud, Time series forecasting, and Smart Building management for smart cities. She has delivered several lectures on national and international platforms. She has organized a workshop as Principal Investigator in 2017, on “Use of ICT in sustainable Computing” approved by the Department of Science and Technology, Govt. of India, worth 5.75 Lakhs. She has guided more than 70 Masters’s thesis (MCA and M.Tech.). Member of several committees at the university level, life member of ISTE, and senior member of IEEE is to her credit.

Kavita Khanna has more than two decades of teaching, research and administrative experience. Currently she is associated with Delhi Skill and Entrepreneurship University as Campus Director of Dwarka Campus. She has done her PhD from Guru Gobind Singh Indraprastha University, Dwarka, New Delhi. Her research areas include Soft Computing, Machine Learning, Computer Graphics and Algorithm Design. She has to her credit more than 60 publications in reputed journals and conferences including Elsevier, Springer and Taylor & Francis. She has organized multiple International Conferences in collaboration with Elsevier and Springer. She has been a part of many conferences as session chair and have delivered multiple guest lectures at platforms of repute. She has successfully guided 20 MTech & 2 PhD scholars and currently 5 research scholars are working under her supervision. Apart from teaching-learning and research, she has also worked as a Radio Jockey with AIR FM Gold for 16 years. She believes that there is no end to learning and this motivates her to attend various National and International Conferences, Workshops and Faculty Development Programs."

 

Ahmed A. Elngar is an Associate Professor of Computer Science at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. Dr. Elngar is also, an Associate Professor of Computer Science at the College of Computer Information Technology, American University in the Emirates, United Arab Emirates. Also, Dr. Elngar is an Adjunct Professor at the School of Technology, Woxsen University, India. Dr. Elngar is the Founder and Head of the Scientific Innovation Research Group (SIRG). Dr. Elngar is a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Artificial Intelligence, Beni-Suef University. Dr. AE has more than 106 scientific research papers published in prestigious international journals and over 25 books covering such diverse topics as data mining, intelligent systems, social networks, and smart environment which were published in Elsevier, Springer and Taylor & Francis. Dr. Elngar is a collaborative researcher He is a member of the Egyptian Mathematical Society (EMS) and International Rough Set Society (IRSS). His other research areas include the Internet of Things (IoT), Network Security, Intrusion Detection, Machine Learning, Data Mining, and Artificial Intelligence. Big Data, Authentication, Cryptology, Healthcare Systems, Automation Systems. Dr. Elngar is an Editor and Reviewer of many international journals around the world. Dr. Elngar won several awards including the Young Researcher in Computer Science Engineering”, from Global Outreach Education Summit and Awards 2019, on 31 January 2019 (Thursday) in Delhi, India. Also, he awards the Best Young Researcher Award (Male) (Below 40 years)”, Global Education and Corporate Leadership Awards (GECL-2018), Plot No-8, Shivaji Park, Alwar 301001, Rajasthan. Dr. Elngar has successfully guided 15 M.Sc & 8 Ph.D. scholars who are working under his supervision. He also serves as an external examiner thesis for Ph. D scholars at many universities all around the world. 

Ahmed J. Obaid, is a Asst. Professor at the Department of Computer Science, Faculty of Computer Science and Mathematics, University of Kufa, Iraq. Dr. Ahmed holds a Bachelor in Computer Science, degree in – Information Systems from College of Computers, University of Anbar, Iraq (2001-2005), and a Master Degree (M. TECH) of Computer Science Engineering (CSE) from School of Information Technology, Jawaharlal Nehru Technological University, Hyderabad, India (2010-2013), and a Doctor of Philosophy (PhD) in Web Mining from College of Information Technology, University of University of Babylon, Iraq (2013-2017). He is a Certified Web Mining Consultant with over 14 years of experience in working as Faculty Member in University of Kufa, Iraq. He has taught courses in Web Designing, Web Scripting, JavaScript, VB.Net, MATLAB Toolbox’s, and other courses on PHP, CMC, and DHTML from more than 10 international organizations and institutes from USA, and India. Dr. Ahmed is a member of Statistical and Information Consultation Center (SICC), University of Kufa, Iraq. His main line of research is Web mining Techniques and Application, Image processing in the Web Platforms, Image processing, Genetic Algorithm, information theory, and Medical Health Applications. Ahmed J. is Associated Editor in Brazilian Journal of Operations & Production Management (BJO&PM) and Editorial Board Members in : International Journal of Advance Study and Research Work (IJASRW), Journal of Research in Engineering and Applied Sciences(JREAS), GRD Journal for Engineering (GRDJE), International Research Journal of Multidisciplinary Science & Technology (IRJMST), The International Journal of Technology Information and Computer (IJTIC), Career Point International Journal Research (CPIJR). Ahmed J. was Editor in Many International Conferences such as: ISCPS2020, MAICT 2020, MAICT 2020, IHICPS 2020, IICESAT 2021, etc (Scopus indexed conferences). He has edited Some books, such as Advance Material Science and Engineering (ISBN: 9783035736779, Scientific.net publisher), Computational Intelligence Techniques for Combating COVID-19 (ISBN: 978-3-030-68936-0 EAI/Springer), A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems (ISBN: 978-3-030-76653-5 Springer). Ahmed J. has supervised several final projects of Bachelor and Master in his main line of work, and authored and co-authored several scientific publications in journals, Books and conferences with more than 65+ Journal Research Articles, 5+ book Chapters, 15+ Conference papers, 10+ Conference proceedings, 8+ Books Editing, 2+ Patent. Ahmed J. also Reviewer in many Scopus, SCI and ESCI Journals e.g., CMC, IETE, IJAACS, IJIPM, IJKBD, IJBSR, IET, IJUFKS and many others. Dr. Ahmed Attend and participate as: Keynote Speakers (40+ Conferences), Webinars (10+), Session Chairs (10+), in many international events in the following countries: India, Turkey, Nepal, Philippines, Vietnam, Thailand, Indonesia and other countries.   

 Zdzislaw Polkowski is Professor of UJW at Faculty of Technical Sciences and Rector's Representative for International Cooperation and Erasmus+ Program at the Jan Wyzykowski University Polkowice. Since 2019 he is also Adjunct Professor in Department of Business Intelligence in Management, Wroclaw University of Economics and Business, Poland. Moreover, he is visiting professor in Univeristy of Pitesti, Romania, WSG University Bydgoszcz, Poland and adjunct professor in Marwadi University, India. He is the former dean of the Technical Sciences Faculty during the period 2009 -2012 at UZZM in Lubin. He holds a PhD degree in Computer Science and Management from Wroclaw University of Technology, Post Graduate degree in Microcomputer Systems in Management from University of Economics in Wroclaw and Post Graduate degree IT in Education from Economics University in Katowice. He obtained his Engineering degree in Computer Systems in Industry from Technical University of Zielona Gora. He has published more than 75 papers in journals, 25 conference proceedings, including more than 20 papers in journals indexed in the Web of Science, Scopus, IEEE. He served as a member of Technical Program Committee in many International conferences in Poland, India, China, Iran, Romania and Bulgaria. Till date he has delivered 24 invited talks at different international conferences across various countries. He is also the member of the Board of Studies and expert member of the doctoral research committee in many universities in India. He is also the member of the editorial board of several journals and served as a reviewer in a wide range of international journals. His area of interests includes IT in Business, IoT in Business and Education Technology. He has successfully completed a research project on Developing the innovative methodology of teaching Business Informatics funded by the European Commission. He also owns an IT SME consultancy company in Polkowice and Lubin, Poland. 

Blurb

This book provides information on interdependencies of medicine and telecommunications engineering and how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear-cut views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare.  Authors include researchers, academics, and professionals in the field.

• Provides insight into communication technologies that govern the current healthcare sector;
• Includes a comprehensive introduction of artificial intelligence in healthcare;
• Discusses various machine learning algorithms applied in the field of medicine.