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Optimal Pair Matching Combined with Machine Learning Predicts a Significant Reduction in Myocardial...

Optimal Pair Matching Combined with Machine Learning Predicts a Significant Reduction in Myocardial...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3153776081

Optimal Pair Matching Combined with Machine Learning Predicts a Significant Reduction in Myocardial Infarction Risk in African Americans Following Omega-3 Fatty Acid Supplementation

About this item

Full title

Optimal Pair Matching Combined with Machine Learning Predicts a Significant Reduction in Myocardial Infarction Risk in African Americans Following Omega-3 Fatty Acid Supplementation

Publisher

Switzerland: MDPI AG

Journal title

Nutrients, 2024-09, Vol.16 (17), p.2933

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Conflicting clinical trial results on omega-3 highly unsaturated fatty acids (n-3 HUFA) have prompted uncertainty about their cardioprotective effects. While the VITAL trial found no overall cardiovascular benefit from n-3 HUFA supplementation, its substantial African American (AfAm) enrollment provided a unique opportunity to explore racial differ...

Alternative Titles

Full title

Optimal Pair Matching Combined with Machine Learning Predicts a Significant Reduction in Myocardial Infarction Risk in African Americans Following Omega-3 Fatty Acid Supplementation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_3153776081

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3153776081

Other Identifiers

ISSN

2072-6643

E-ISSN

2072-6643

DOI

10.3390/nu16172933

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