IoT, Machine Learning and Data Analytics for Smart Healthcare (Paperback)

Machine learning, Internet of Things (IoT) and data analytics are new and fresh technologies that are being increasingly adopted in the field of medicine. This book positions itself at the forefront of this movement, exploring the beneficial applications of these new technologies and how they are gradually creating a smart healthcare system.

This book details the various ways in which machine learning, data analytics and IoT solutions are instrumental in disease prediction in smart healthcare. For example, wearable sensors further help doctors and healthcare managers to monitor patients remotely and collect their health parameters in real-time, which can then be used to create datasets to develop machine learning models that can aid in the prediction and detection of any susceptible disease. In this way, smart healthcare can provide novel solutions to traditional medical issues.

This book is a useful overview for scientists, researchers, practitioners and academics specialising in the field of intelligent healthcare, as well as containing additional appeal as a reference book for undergraduate and graduate students

Mourade Azrour received his PhD from the Faculty of Sciences and Techniques, Moulay Ismail University of Meknès, Morocco. He received his MS in computer and distributed systems from the Faculty of Sciences, Ibn Zouhr University, Agadir, Morocco in 2014. Mourade currently works as computer sciences professor at the Department of Computer Science, Faculty of Sciences and Techniques, Moulay Ismail University of Meknès. His research interests include authentication protocol, computer security, the Internet of Things, smart systems and machine learning. Mourade is a member of the scientific committees of numerous international conferences. He is also a reviewer of various scientific journals. He has published more than 60 scientific papers and book chapters. Mourade has edited 2 scientific books: IoT and Smart Devices for Sustainable Environment (2022) and Advanced Technology for Smart Environment and Energy (2023). Finally, he has served as guest editor of the journals EAI Endorsed Transactions on Internet of Things, Tsinghua Science and Technology, Applied Sciences MDPI and Sustainability MDPI.

Jamal Mabrouki received his PhD in process and environmental engineering at Mohammed V University in Rabat, specializing in artificial intelligence and smart automatic systems. He completed the Bachelor of Science in physics and chemistry with honors from Hassan II University in Casablanca, Morocco. His research is on intelligent monitoring, control, and management systems and more particularly on sensing and supervising remote intoxication systems, smart self-supervised systems and recurrent neural networks. He has published several papers in conferences and indexed journals, most of them related to artificial intelligent systems, the Internet of Things or big data and mining. Jamal currently works as a professor in environment, energy and smart systems in the Faculty of Science, Mohammed V University in Rabat. Jamal is a scientific committee member of numerous national and international conferences. He is also a reviewer of Modeling Earth Systems and Environment; International Journal of Environmental Analytical Chemistry; International Journal of Modeling, Simulation, and Scientific Computing; The Journal of Supercomputing, Energy & Environment; and Big Data Mining and Analytics, among others.

Azidine Guezzaz received his Ph.D from Ibn Zohr University Agadir, Morocco in 2018. He obtained his master's in computer and distributed systems from the Faculty of Sciences, Ibn Zouhr University, Agadir, Morocco in 2013. He is currently an associate professor of computer science and mathematics at Cadi Ayyad University Marrakech, Morocco. His main research interests are computer security, cryptography, artificial intelligence, intrusion detection and smart cities. He is a member of the scientific and organizing committees of various international conferences. Azidine is a guest editor of special issues of Tsinghua Science and Technology, Sustainability and EAI Endorsed Transactions on Internet of Things. He is also an editor of some books and reviewer of various scientific journals.

Sultan Ahmad is an IEEE Member. He received his Ph.D. from Glocal University and a Master's in Computer Science and Applications from the prestigious Aligarh Muslim University, India with distinction marks. Presently, he is working as faculty in the Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia. He is also Adjunct Professor at Chandigarh University, Gharuan, Punjab, India. He has more than 15 years of teaching and research experience. He has around 80 accepted and published research papers and book chapters in reputed SCI, SCIE, ESCI and SCOPUS-indexed journals and conferences. He has an Australian patent in his name also. He has authored 4 books that are available on Amazon. His research areas include distributed computing, big data, machine learning and the Internet of Things. He has presented his research papers at many national and international conferences. He is a Member of IEEE, IACSIT and the Computer Society of India.

Shakir Khan has a PhD in Computer Science and is a senior member of IEEE, presently working as an associate professor in the College of Computer and Information Sciences (CCIS), Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia. He has more than 15 years of rich national and international teaching, research and IT experience, including five years in King Saud University for research, training and teaching, Riyadh, Saudi Arabia. He has sound research knowledge along with supervision of more than a dozen master's level scholars in different fields of computer science. He has published more than 90 articles in reputed journals and conferences. He has also published three books and has three patents. He has contributed to many international journals and conferences as editor, member of the advisory board, reviewer, program committee member and keynote speaker. His research interests include data mining, data science, AI, cloud computing, IoT, big data and analytics, bioinformatics, E-learning, machine learning and deep learning. He received a received research excellence award from Imam University in 2019, and led the programming team at Prince Sultan University, Riyadh who came third out of 40 national teams from different Saudi universities. He has been awarded multiple research grants from Deanship of Scientific Research, Imam University and the Ministry of Education, Saudi Arabia. He is the PI for International Research Partnership Program with one of the computer science professors in Aligarh Muslim University (AMU), India. Dr. Khan is delivering these projects and is also doing collaborative research with the University of Electronic Science and Technology China (UESTC), and other professors globally.

Said Benkirane obtained his engineering degree in networks and telecommunications in 2004 from INPT in Rabat, Morocco. He obtained his master's degree in computer and network engineering in 2006 from the USMBA University of Fez and his PhD in Computer Science in 2013 from the UCD University of El-Jadida, Morocco. He has been working as a professor at ESTE Cadi Ayyad University since 2014. His areas of research are artificial intelligence, multi agents and systems security. He also works in various wireless networks (VANET, WSN…). He is president of the Robotics and Artificial Intelligence Team; he is also an active reviewer in several high-quality journals.