1st Edition

Healthcare 4.0 Health Informatics and Precision Data Management

    298 Pages 147 B/W Illustrations
    by Chapman & Hall

    298 Pages 147 B/W Illustrations
    by Chapman & Hall

    The main aim of Healthcare 4.0: Health Informatics and Precision Data Management is to improve the services given by the healthcare industry and to bring meaningful patient outcomes by applying the data, information and knowledge in the healthcare domain.


    • Improves the quality of health data of a patient
    • Presents a wide range of opportunities and renewed possibilities for healthcare systems
    • Gives a way for carefully and meticulously tracking the provenance of medical records
    • Accelerates the process of disease-oriented data and medical data arbitration
    • Brings meaningful patient health outcomes
    • Eradicates delayed clinical communications
    • Helps the research intellectuals to step down further toward the disease and clinical data storage
    • Creates more patient-centered services

    The precise focus of this handbook is on the potential applications and use of data informatics in healthcare, including clinical trials, tailored ailment data, patient and ailment record characterization and health records management.

    1. Privacy preserving healthcare informatics using Federated learning and Blockchain

    K Tamil Selvi, R Thamilselvan

    2. Applications, Opportunities and Current Challenges in the Healthcare Industry

    Veena A, Gowrishankar S

    3. Harnessing Big Data and Artificial Intelligence for Data Acquisition, Storage and Retrieval of Healthcare Informatics in Precision Medicine

    S. Mohana Saranya, K. Tamilselvi, S. Mohanapriya

    4. Analogous Healthcare Product Identification in Online Shopping

    N. Archana, R. Menaka, Blessy Regina S.M.J, Lakshmi Prabha P.M

    5. Segmentation Based Comparative Analysis for Detection Of Bone Tumor Using Healthcare Dataset

    Eric Clapten J, Tamilselvi A , Oviya K, Swetha M

    6. Challenges, Progress and Opportunities of Blockchain in HealthCare Data

    Dinesh Komarasamy, M. K. Dharani, R. Thamilselvan, J. Jenita Hermina

    7. SepSense: A Novel Sepsis Detection System Using Machine Learning Techniques

    V Aruna Devi, Sakthi Jaya Sundar Rajasekar, Varalakshmi Perumal

    8. Oral Cancer Detection at Early Stage Using Convolutional Neural Network in Healthcare Informatics

    Bhuvaneswari S, Pandimeena R ,Sridhar M , Vignesh S

    9. Lung Diseases Identification Brain-Computer Interface based Real-Time Movement of Upper Limb Prostheses

    Sivabalan A, Sandhiya D, Sharada M B, Jai Jaganath Babu Jayachandran

    10. Brain-Computer Interface based Real-Time Movement of Upper Limb Prostheses

    K Kalpana, B Hakkem, S Ramya, Dhanasekar J Teresa

    11. A Robust Image Driven CNN Algorithm to detect Skin Disease in Healthcare systems

    Suganyadevi S, Seethalakshmi V, Vidhya N, Balasamy K

    12. Patient identity ailments and maintenance using Blockchain and Health informatics

    K. S. Suganya, Dr R Nedunchezian, Dr K S Arvind

    13. An Innovative outcome of Internet of Things and Artificial Intelligence in remote centered Healthcare application schemes

    Dr. Lalitha Krishnasamy, A.Tamilselvi, Dr. Rajesh Kumar Dhanaraj

    14. Electronic Health Records Storing and Sharing System Using Blockchain

    Dr. Shailendra S. Aote, Dr. Amit Khaparde, Dr. Balamurugan Balusamy, Aayush Muley, Adesh Kotgirwar, Atharva Uplanchiwar, Lalita Sharma


    Dr. Lalitha Krishnasamy received B.Tech IT from CSI College of Engineering, The Nilgris in 2005 and M.Tech IT from Anna University of Technology in 2009 and completed PhD in Wireless Sensor Networks in 2019. Currently working as an Associate Professor in the Department of IT, Kongu Engineering College, Erode. She has conducted various workshops and published several papers in the area of Wireless Sensor Networks, Internet of Things and Artificial Intelligence Algorithms. Her research area of interest includes Wireless Sensor Networks, Artificial Intelligence and Internet of Things. She published 3 book chapters and obtained 4 patents. She is a Lifetime member of CSI and IAENG. ORCID: 0000-0002-4682-8191.

    Dr. Rajesh Kumar Dhanaraj is an Associate Professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, U.P, India. He holds a PhD degree in Information and Communication Engineering by the Anna University, India. He has presented papers at conferences, published articles and papers in various journals, and contributed a chapter to the books. His research and publication interests include Wireless Sensor Networks and Cloud Computing. He is an Expert Advisory Panel Member of Texas Instruments Inc USA.

    Prof. Balamurugan Balusamy has served up to the position of Associate Professor in his stint of 14 years of experience with VIT University, Vellore. He had completed his Bachelors, Masters and PhD Degrees from Top premier institutions from India. His passion is teaching and adapts different design thinking principles while delivering his lectures. He has published 30+ books on various technologies and visited 15 plus countries for his technical course. He has several top-notch conferences in his resume and has published over 150 of quality journal, conference and book chapters combined. He serves in the advisory committee for several startups and forums and does consultancy work for industry on Industrial IOT. He has given over 175 talks in various events and symposium. He is currently working as a professor at Galgotias University and teaches students, does research on Blockchain and IOT.

    Dr. Munish Sabharwal is Professor & Dean, School of Computing Science & Engineering, Galgotias University, Greater Noida (UP) India. He is also Adjunct Professor -Faculty of Digital Technologies, Samarkand State University, Samarkand, Uzbekistan. He is PhD (Computer Science) and PhD (Management) and also has a PGDM (International Trade) from Symbiosis Institute of Management Studies, Pune, an M.Tech (Computer Science) from IASE University, Sardarshahr and a B.E. (Computer Technology) from Nagpur University, Nagpur. He has 12+ yrs. of research experience, has published more than 83+ research papers in reputed conferences and Journals indexed in Web of Science, Scopus etc. He is board member as well as reviewer for a number of leading indexed research journals and has several books to his credit. He is guiding 12 PhD Scholars and his current research interests include Data Sciences (AI & ML), Biometrics & E-Banking. He has more than 12 Professional Memberships and Research Associations with organizations like Life Members- IAENG, TAEI, CSI, AIMA, YHAI, Senior Member – ACM, IEEE, IACSIT, IRED and Member- ASI, AAAI, AIS etc. He has special fondness for teaching, with 18+ yrs.

    Dr. Poongodi Chinnasamy is Professor and Head, Department of Information Technology in Vivekanandha College of Engineering for Women, Tiruchengode, Namakkal District. She has obtained her B.E in Electronics and Communication Engineering from Bharathiar University, Coimbatore in 2001, M.E in Computer Science Engineering from Bharathiar University in 2002 and obtained Ph.D in Information and Communication Engineering from Anna University, Chennai during 2013. She has published twenty+ papers in International conferences and 25+ papers in International journals. Her research areas include Wireless networks, Mobile Ad-hoc Networks, Delay Tolerant Networks and Embedded Systems. Mail-id: [email protected]