Predicting Progression of Type 2 Diabetes Using Primary Care Data with the Help of Machine Learning

Ozturk, Berk, Lawton, Tom, Smith, Stephen orcid.org/0000-0002-6885-2643 et al. (1 more author) (2023) Predicting Progression of Type 2 Diabetes Using Primary Care Data with the Help of Machine Learning. In: Caring is Sharing. Studies in health technology and informatics . , pp. 38-42.

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Item Type: Book Section
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© 2023 European Federation for Medical Informatics (EFMI) and IOS Press.

Keywords: Machine learning,AI,Diabetes Mellitus, Type 2/diagnosis,Healthcare,Machine Learning,Hypertension/diagnosis,Primary Health Care,Support Vector Machine
Dates:
  • Published: 18 May 2023
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User: Pure (York)
Date Deposited: 23 May 2023 13:20
Last Modified: 20 Mar 2025 00:15
Published Version: https://doi.org/10.3233/SHTI230060
Status: Published
Series Name: Studies in health technology and informatics
Identification Number: 10.3233/SHTI230060
Open Archives Initiative ID (OAI ID):

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Description: SHTI-302-SHTI230060

Licence: CC-BY-NC 2.5

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