Predicting the risk of diabetes complications using machine learning and social administrative data in a country with ethnic inequities in health: Aotearoa New Zealand

Nghiem, N; Wilson, N; Krebs, J; Tran, Truyen

Predicting the risk of diabetes complications using machine learning and social administrative data in a country with ethnic inequities in health: Aotearoa New Zealand

journal contribution

posted on 2024-10-21, 23:23 authored by N Nghiem, N Wilson, J Krebs, Truyen TranTruyen Tran

Predicting the risk of diabetes complications using machine learning and social administrative data in a country with ethnic inequities in health: Aotearoa New Zealand

History

Journal

BMC Medical Informatics and Decision Making

Volume

24

Article number

274

Location

London, Eng.

Publisher DOI

https://doi.org/10.1186/s12911-024-02678-x

Open access

Yes

ISSN

1472-6947

eISSN

1472-6947

Language

en

Publication classification

C1.1 Refereed article in a scholarly journal

Issue

1

Publisher

BMC

Publication URL

http://dx.doi.org/10.1186/s12911-024-02678-x

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Keywords

ALGORITHM BIG DATA Cardiovascular disease CARDIOVASCULAR-DISEASE COMORBIDITY DERIVATION Diabetes complications Health and social administrative data Life Sciences & Biomedicine Machine learning Medical Informatics PRIMARY-CARE Risk prediction Science & Technology

Licence

CC BY-NC-ND 4.0

Predicting the risk of diabetes complications using machine learning and social administrative data in a country with ethnic inequities in health: Aotearoa New Zealand

History

Journal

Volume

Article number

Location

Publisher DOI

Open access

ISSN

eISSN

Language

Publication classification

Issue

Publisher

Publication URL

Usage metrics

Categories

Keywords

Licence

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