Intelligent type 2 diabetes risk prediction from administrative claim data

Download
Full text for this resource is not available from the Research Repository.
Export

Uddin, Shahadat, Imam, Tasadduq, Hossain, Md Ekramul, Gide, Ergun, Sianaki, Omid ORCID: 0000-0001-8289-3452, Moni, Mohammad Ali ORCID: 0000-0003-0756-1006, Mohammed, Ashwaq Amer and Vandana, Vandana (2021) Intelligent type 2 diabetes risk prediction from administrative claim data. Informatics for Health and Social Care, 47 (3). pp. 243-257. ISSN 1753-8157

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/44959
DOI 10.1080/17538157.2021.1988957
Official URL https://www.tandfonline.com/doi/full/10.1080/17538...
Subjects Current > FOR (2020) Classification > 4605 Data management and data science
Current > Division/Research > VU School of Business
Keywords type 2 diabetes risk, risk prediction, chronic illness, global health, supervised machine learning
Citations in Scopus 1 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login

CORE (COnnecting REpositories)