IoT, Machine Learning and Data Analytics for Smart Healthcare

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

Editor Biographies

List of Contributors

1. Applications of Blockchain in Healthcare: Review Study

Souhayla Dargaoui, Mourade Azrour, Ahmad El Allauoi, Azidine Guezzaz, Said Benikrane, Jamal Mabrouki, Abdulatif Alabdulitif, Fatima Amounas

2. Deep Learning for Healthcare Management

Ankush Verma, Amit Pratap Singh Chouhan, Vandana Singh, Sanjana Koranga , Mourade Azrour

3. Exploring Lung Cancer Pathologies Using Metaphoric Interventions of Deep Learning Techniques

Swapnali Patil, Dr. Lakshmi D

4. Artificial Intelligence in Smart Healthcare

Ankush Verma, Anam Mohamed Saleem, Joyce Prabhudas Ranadive, Amit Pratap Singh Chouhan, Vandana Singh

5. Biometrics and Data Smart Healthcare System

Ankush Verma, Anam Mohamed Saleem, Joyce Prabhudas Ranadive, Amit Pratap Singh Chouhan, Vandana Singh

6. Analysing the Ascendant Trend of Veganism: A Comprehensive Study on the Shift Towards Sustainable Dietary Choices

Shikha Bhagat, Shilpa Sarvani Ravi, Rashmi Rai

7. Monitoring of Water Toxicity through the Internet of Things to Protect the Health of the Population

Khadija El-moustaqim , Jamal Mabrouki, Mourade Azrour

Index

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