1st Edition

Healthcare-Driven Intelligent Computing Paradigms to Secure Futuristic Smart Cities

    408 Pages 109 B/W Illustrations
    by Chapman & Hall

    Healthcare-Driven Intelligent Computing Paradigms to Secure Futuristic Smart Cities presents the applications of the healthcare sector in the context of futuristic smart cities. It explores various applications like the advancements in computational and network models along with the innovative paradigms for an able healthcare model. The book discusses the state-of-the-art intelligent network and computing paradigms and machine learning models for robust healthcare. This book is for academicians, researchers, and entrepreneurs working on healthcare-driven intelligent computing paradigms to secure futuristic smart cities. It includes several aspects of the challenges faced by a futuristic smart city in healthcare, includes challenges emanating from the immense data generated by the wearable sensors, data analysis, and security concerns owing to the patient-related data. It works as a pertinent resource on how cutting-edge technologies can be integrated to aptly provide solutions for the numerous challenges faced by the healthcare industry. Includes several use cases, practical challenges, and solutions for executing smart healthcare.

    Features

    • Covers a multitude of computing paradigms viz; Cloud computing, Fog Computing, and Mist Computing.
    • Healthcare is discussed leveraging smart city, so it can potentially identify the gaps and present some newer use cases to handle future pandemics.
    • The network aspect is also covered with an inclusion of the next-generation paradigm which is Software Defined Networking (SDN).
    • Security and privacy issues are considered, which is crucial to handle security-related aspects
    • Machine Learning models are also discussed to provide any entrepreneur develop a business model involving cutting-edge technologies.

    This book is for academicians, researchers, and entrepreneurs working on healthcare-driven intelligent computing paradigms to secure futuristic smart cities.


    1. Healthcare and its Applications in a Smart City
    Wasswa Shafik

    2. Role of Body-Transfer System in Active Assistive Living for Effective Healthcare
    Lin Chyi-Yeu , Bahrudin, Masroor Salman

    3. An in depth analysis of machine learning and artificial intelligence advancements in healthcare for smart cities
    Soumya Sidhartha Ray, Niva Tripathy, Subhranshu Sekhar Tripathy, Mehdi Gheisari

    4. Comprehensive Survey of IoT, Machine Learning, and Reliability Engineering for Health Care Applications
    Suneel Kumar Rath, Madhusmita Sahu, Shom Prasad Das

    5. Artificial Intelligence based Solutions for Optimized Data Routing through Multi-hop Healthcare Sensor Networks
    Kuldeep Singh, Jyoteesh Malhotra, Bhanu Priya, Abhishek Sharma, Manjit Singh, Butta Singh

    6. AIoMT: An AI Based Network Selection Framework for Next-Generation enabled IoMT Network in Smart City
    Bhanu Priya, Jyoteesh Malhotra, Kuldeep Singh, Aadi Koshal

    7. Concurrent Clustering with Outlier Removal in Healthcare
    Blessa Binolin Pepsi M, Aishwharya V, Shahina Fathima A,Vijaya Subasri K

    8. Cluster Weighting-A New Clustering Technique for Outlier Removal and Noise Overlap in Healthcare Diagnosis for Smart City
    Malathy N, Grace Sophia J, Ramya M, Sree Harini R

    9. Cluster Weighting-A New Clustering Technique for Outlier Removal and Noise Overlap in Healthcare Diagnosis for Smart City
    Malathy N, Grace Sophia J, Ramya M, Sree Harini R

    10. Pneumonia classification in Chest X-ray Images Using Fusion of Deep Features and LightGBM
    A. Beena Godbin, S. Graceline Jasmine

    11. AI-Driven Prioritization and Detection of Covid-19 Cases in Smart Cities: An Integration of X-Ray Imaging and ResNet18 Machine Learning
    Deepa Parasar, L Warule, N Kazi, V Guru

    12. Depression detection in social media text using machine learning techniques
    Thirumoorthy Karapagalingam, Jerold John Britto J, Manasa S K

    13. Depression Symptoms Prediction on Online Social Networks Using Machine Learning Algorithms
    Oluwafolake Ojo, Inioluwa Adewuyi, Oluwadolapo Oni, Olufunke Oyinloye, Idris Gbolade, Abayomi Ojo

    14. A Sorting Strip based Body worn Antenna for Assisting Breast Cancer Detection for a smart Healthcare environment
    G. Indumathi, G. Sujitha, K. Vishveswari

    15. Artificial Intelligence Prediction of the Risk of Ovarian Cancer at an Early Stage in Smart Cities
    J. M. Sheela Lavanya, P. Subbulakshmi

    16. Chatbot Enable Brain Cancer Prediction using Convolutional Neural Network for Smart Health Care
    Sima Das, Vikash Kumar, Giovanni Cicceri

    17. Federated Learning for Heart Disease Detection in Smart Healthcare: A Survey
    Dulani Meedeniya, Roshinie Jayasundara, Meelan Bandara, Isuru Ariyarathne

    18. Federated Learning for Heart Disease Detection Using a Grey Wolf Transfer Learning Model Based on Multi-Perceptron Neural Networks
    Janani I, Gokila Deepa G, Dhiyanesh B, Selva Lakshmi C B, Yawanikha T

    19. A novel Mist-Fog federated learning model for heart disease detection in smart healthcare
    Mir Wajahat Hussain

    20. Energy-efficient and Delay Tolerant Prediction of Heart Disease in IoT-enabled Mist Computing Platforms
    Subhranshu Sekhar Tripathy; Biswajit Tripathy; Sujit Bebortta; Umar Muhammad Modibbo

    Biography

    Diptendu Sinha Roy was born in Hooghly, India. He received his B.Tech. degree from Kalyani University, Kalyani, India, in 2003, and the M. Tech. and Ph.D. from the Birla Institute of Technology Mesra, Ranchi, India, in 2005 and 2010, respectively. He is currently with the National Institute of Technology Meghalaya, where he is the Head of the Department of Computer Science and Engineering. His current research interests include distributed, grid computing, cloud computing, fog computing, software reliability, and optimization in engineering. He also performs research on design and analysis of distributed infrastructure of power systems.

    Mir Wajahat Hussain was born in Jammu & Kashmir, India. He received his B.Tech. degree from University of Kashmir, India, in 2014, and his master’s degree and Ph.D. from the National Institute of Technology Arunachal Pradesh and National Institute of Technology Meghalaya, India in 2017 and 2021 respectively. He is currently with the Alliance University, India, as an Assistant Professor. His research interests include software-defined networks and big data.

    K. Hemant Kumar Reddy was born in Berhampur, India. He received the M. Tech. and Ph.D. degrees from Berhampur University, Bhanja Vihar, India, in 2008 and 2014, respectively. He is currently with the VIT-AP University, India, as an Associate Professor. He is also serving as an associate editor of Journal of Intelligent and Fuzzy Systems (JIFS). His research interests include distributed and grid computing, cloud computing, fog computing, and service-oriented architectures.

    Deepak Gupta was born in Delhi, India. He has completed B.Sc. Honors in Physics from Delhi University, Delhi, and M.Sc.  in Physics from Kumaun University, Nainital. He obtained his doctorate in Physics from the National Institute of Technology Meghalaya. He also worked as a research associate at NIT Meghalaya, Shillong. He is currently working at Galgotias University, Greater Noida. His areas of interest includes molecular electronics and soft matter computation.