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An efficient approach to estimate the risk of coronary artery disease for people living with HIV usi...

An efficient approach to estimate the risk of coronary artery disease for people living with HIV usi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2779729471

An efficient approach to estimate the risk of coronary artery disease for people living with HIV using machine-learning-based retinal image analysis

About this item

Full title

An efficient approach to estimate the risk of coronary artery disease for people living with HIV using machine-learning-based retinal image analysis

Publisher

United States: Public Library of Science

Journal title

PloS one, 2023-02, Vol.18 (2), p.e0281701-e0281701

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

People living with HIV (PLWH) have increased risks of non-communicable diseases, especially cardiovascular diseases. Current HIV clinical management guidelines recommend regular cardiovascular risk screening, but the risk equation models are not specific for PLWH. Better tools are needed to assess cardiovascular risk among PLWH accurately.
We pe...

Alternative Titles

Full title

An efficient approach to estimate the risk of coronary artery disease for people living with HIV using machine-learning-based retinal image analysis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2779729471

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2779729471

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0281701

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