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Diabetic peripheral neuropathy detection of type 2 diabetes using machine learning from TCM features...

Diabetic peripheral neuropathy detection of type 2 diabetes using machine learning from TCM features...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_92bab8cce65340e9af6235c8c3a0bc79

Diabetic peripheral neuropathy detection of type 2 diabetes using machine learning from TCM features: a cross-sectional study

About this item

Full title

Diabetic peripheral neuropathy detection of type 2 diabetes using machine learning from TCM features: a cross-sectional study

Publisher

England: BioMed Central Ltd

Journal title

BMC medical informatics and decision making, 2025-02, Vol.25 (1), p.90-12, Article 90

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Diabetic peripheral neuropathy (DPN) is the most common complication of diabetes mellitus. Early identification of individuals at high risk of DPN is essential for successful early intervention. Traditional Chinese medicine (TCM) tongue diagnosis, one of the four diagnostic methods, lacks specific algorithms for TCM symptoms and tongue features. Th...

Alternative Titles

Full title

Diabetic peripheral neuropathy detection of type 2 diabetes using machine learning from TCM features: a cross-sectional study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_92bab8cce65340e9af6235c8c3a0bc79

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_92bab8cce65340e9af6235c8c3a0bc79

Other Identifiers

ISSN

1472-6947

E-ISSN

1472-6947

DOI

10.1186/s12911-025-02932-w

How to access this item