Blockchain and machine learning for e-healthcare systems / edited by Balusamy Balamurugan [and three others].

Format:

Book

Contributor:

Balusamy, Balamurugan, editor.

Series:

Healthcare Technologies Series ; 29

Language:

English

Subjects (All):

Cryptography.

Physical Description:

1 online resource (480 pages)

Place of Publication:

London, England : Institution of Engineering & Technology, [2020]

System Details:

Mode of access: World Wide Web.

Summary:

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.

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-83724-637-8

1-5231-3528-X

1-83953-115-0