Chapter 27 - an up-to-date systematic review on machine learning approaches for predicting treatment response in diabetes

Wu, W., Zhang, W., Sadiq, S., Tse, G., Khalid, S.G. ORCID: 0000-0002-0305-5678, Fan, Y. and Liu, H., 2024. Chapter 27 - an up-to-date systematic review on machine learning approaches for predicting treatment response in diabetes. In: S. Dash, S.K. Pani, W. Susilo, B.M.Y. Cheung and G. Tse, eds., Internet of things and machine learning for type I and type II diabetes: use cases. London: Elsevier, pp. 397-409. ISBN 9780323956864

Full text not available from this repository.
Item Type: Chapter in book
Creators: Wu, W., Zhang, W., Sadiq, S., Tse, G., Khalid, S.G., Fan, Y. and Liu, H.
Publisher: Elsevier
Place of Publication: London
Date: 2024
ISBN: 9780323956864
Identifiers:
NumberType
10.1016/B978-0-323-95686-4.00027-7DOI
B9780323956864000277Publisher Item Identifier
1917072Other
Divisions: Schools > School of Science and Technology
Record created by: Melissa Cornwell
Date Added: 26 Jul 2024 10:15
Last Modified: 26 Jul 2024 10:15
URI: https://irep.ntu.ac.uk/id/eprint/51834

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year