Description
Blockchain and machine learning technologies can mitigate healthcare issues such as slow access to medical data, poor system interoperability, lack of patient agency, and data quality and quantity for medical research. Blockchain technology facilitates and secures the storage of information in such a way that doctors can see a patient's entire medical history, but researchers see only statistical data instead of any personal information. Machine learning can make use of this data to notice patterns and give accurate predictions, providing more support for the patients and also in research related fields where there is a need for accurate data to predict credible results.
This book examines the application of blockchain technology and machine learning algorithms in various healthcare settings, covering the basics of the technologies and exploring how they can be used to improve clinical outcomes and improving the patient's experience. These topics are illustrated with reference to issues around the supply chain, drug verification, reimbursement, control access and clinical trials. Case studies are given for applications in the analysis of breast cancer, hepatitis C, and COVID-19.
Author: Balusamy Balamurugan
Publisher: Institution of Engineering & Technology
Published: 01/08/2021
Pages: 480
Binding Type: Hardcover
Weight: 2.00lbs
Size: 9.50h x 6.30w x 1.10d
ISBN13: 9781839531149
ISBN10: 1839531142
BISAC Categories:
- Computers | Computer Science