Log in to save to my catalogue

Enhancing severe hypoglycemia prediction in type 2 diabetes mellitus through multi-view co-training...

Enhancing severe hypoglycemia prediction in type 2 diabetes mellitus through multi-view co-training...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b7fa39fb33164e509398182c081cb40e

Enhancing severe hypoglycemia prediction in type 2 diabetes mellitus through multi-view co-training machine learning model for imbalanced dataset

About this item

Full title

Enhancing severe hypoglycemia prediction in type 2 diabetes mellitus through multi-view co-training machine learning model for imbalanced dataset

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-09, Vol.14 (1), p.22741-12, Article 22741

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Patients with type 2 diabetes mellitus (T2DM) who have severe hypoglycemia (SH) poses a considerable risk of long-term death, especially among the elderly, demanding urgent medical attention. Accurate prediction of SH remains challenging due to its multifaced nature, contributed from factors such as medications, lifestyle choices, and metabolic mea...

Alternative Titles

Full title

Enhancing severe hypoglycemia prediction in type 2 diabetes mellitus through multi-view co-training machine learning model for imbalanced dataset

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b7fa39fb33164e509398182c081cb40e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b7fa39fb33164e509398182c081cb40e

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-69844-z

How to access this item