Machine Learning Identifies Plasma Metabolites Associated With Heart Failure in Underrepresented Populations With the TTR V122I Variant

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Bibliographic Details
Published inJournal of the American Heart Association Vol. 12; no. 8; p. e027736
Main Authors Park, Joshua K, Petrazzini, Ben O, Saha, Aparna, Vaid, Akhil, Vy, Ha My T, Márquez-Luna, Carla, Chan, Lili, Nadkarni, Girish N, Do, Ron
Format Journal Article
LanguageEnglish
Published England John Wiley and Sons Inc 18.04.2023
Wiley
Subjects
Amyloid Neuropathies, Familial - complications
Amyloidosis - metabolism
Cardiomyopathies - metabolism
Heart Failure - complications
Heart Failure - diagnosis
Heart Failure - genetics
hereditary cardiac amyloidosis
Humans
Machine Learning
metabolomics
Mutation
prealbumin
Prealbumin - genetics
Prealbumin - metabolism
random forest classification
Research Letter
restrictive cardiomyopathy
transthyretin
hereditary cardiac amyloidosis
prealbumin
metabolomics
random forest classification
restrictive cardiomyopathy
transthyretin
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Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Correspondence-1
content type line 23
For Sources of Funding and Disclosures, see page 3.
G. N. Nadkarni and R. Do are co‐senior authors.
ISSN:2047-9980
2047-9980
DOI:10.1161/JAHA.122.027736