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al-BERT: a semi-supervised denoising technique for disease prediction

al-BERT: a semi-supervised denoising technique for disease prediction

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d1f3f357983e40229c831ab1075489eb

al-BERT: a semi-supervised denoising technique for disease prediction

About this item

Full title

al-BERT: a semi-supervised denoising technique for disease prediction

Publisher

England: BioMed Central Ltd

Journal title

BMC medical informatics and decision making, 2024-05, Vol.24 (1), p.127-127, Article 127

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Medical records are a valuable source for understanding patient health conditions. Doctors often use these records to assess health without solely depending on time-consuming and complex examinations. However, these records may not always be directly relevant to a patient's current health issue. For instance, information about common colds may not...

Alternative Titles

Full title

al-BERT: a semi-supervised denoising technique for disease prediction

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d1f3f357983e40229c831ab1075489eb

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d1f3f357983e40229c831ab1075489eb

Other Identifiers

ISSN

1472-6947

E-ISSN

1472-6947

DOI

10.1186/s12911-024-02528-w

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