Predictive ability of current machine learning algorithms for type 2 diabetes mellitus: A meta‐analy...
Predictive ability of current machine learning algorithms for type 2 diabetes mellitus: A meta‐analysis
About this item
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Author / Creator
Publisher
Japan: John Wiley & Sons, Inc
Journal title
Language
English
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Publication information
Publisher
Japan: John Wiley & Sons, Inc
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Scope and Contents
Contents
Aims/Introduction
Recently, an increasing number of cohort studies have suggested using machine learning (ML) to predict type 2 diabetes mellitus. However, its predictive ability remains inconclusive. This meta‐analysis evaluated the current ability of ML algorithms for predicting incident type 2 diabetes mellitus.
Materials and Methods
We...
Alternative Titles
Full title
Predictive ability of current machine learning algorithms for type 2 diabetes mellitus: A meta‐analysis
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TN_cdi_doaj_primary_oai_doaj_org_article_5b000a41fb1148178bb79a1c1e8ebd16
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5b000a41fb1148178bb79a1c1e8ebd16
Other Identifiers
ISSN
2040-1116
E-ISSN
2040-1124
DOI
10.1111/jdi.13736
