Healthcare 4.0
  1. 296 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub
Book details
Table of contents
Citations

About This Book

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.

Features:

  • 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.

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Yes, you can access Healthcare 4.0 by Lalitha Krishnasamy, Rajesh Kumar Dhanaraj, Balamurugan Balusamy, Munish Sabharwal, Poongodi Chinnasamy, Lalitha Krishnasamy,Rajesh Kumar Dhanaraj,Balamurugan Balusamy,Munish Sabharwal,Poongodi Chinnasamy in PDF and/or ePUB format, as well as other popular books in Medicine & General Health. We have over one million books available in our catalogue for you to explore.

Information

Year
2022
ISBN
9781000826135
Edition
1

Table of contents

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Editor Biography
  8. List of Contributors
  9. 1 Privacy-preserving Healthcare Informatics using Federated Learning and Blockchain
  10. 2 Applications, Opportunities, and Current Challenges in the Healthcare Industry
  11. 3 Harnessing Big Data and Artificial Intelligence for Data Acquisition, Storage, and Retrieval of Healthcare Informatics in Precision Medicine
  12. 4 Analogous Healthcare Product Identification in Online Shopping
  13. 5 Segmentation-based Comparative Analysis for Detection of Bone Tumour Using Healthcare Data
  14. 6 Challenges, Progress and Opportunities of Blockchain in Healthcare Data
  15. 7 SepSense: A Novel Sepsis Detection System Using Machine Learning Techniques
  16. 8 Oral Cancer Detection at Early Stage Using Convolutional Neural Network in Healthcare Informatics
  17. 9 Lung Diseases Identification
  18. 10 Brain–Computer Interface-based Real-Time Movement of Upper Limb Prostheses
  19. 11 A Robust Image-Driven CNN Algorithm to Detect Skin Disease in Healthcare Systems
  20. 12 Patient Identity Ailments and Maintenance Using Blockchain and Health Informatics
  21. 13 An Innovative Outcome of Internet of Things and Artificial Intelligence in Remote Centered Healthcare Application Schemes
  22. 14 Electronic Health Records Storing and Sharing System Using Blockchain
  23. Index