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 & Data Mining. We have over one million books available in our catalogue for you to explore.

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

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