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Article

Association of Multiorgan Computed Tomographic Phenomap With Adverse Cardiovascular Health Outcomes: The Framingham Heart Study.

JAMA cardiology - 1 Nov 2017

Shah Ravi V, Yeri Ashish S, Murthy Venkatesh L, Massaro Joe M, D'Agostino Ralph, Freedman Jane E, Long Michelle T, Fox Caroline S, Das Saumya, Benjamin Emelia J, Vasan Ramachandran S, O'Donnell Christopher J, Hoffmann Udo

Abstract excerpt

Importance: Increased ability to quantify anatomical phenotypes across multiple organs provides the opportunity to assess their cumulative ability to identify individuals at greatest susceptibility for adverse outcomes. Objective: To apply unsupervised machine learning to define the distribution and prognostic importance of computed tomography-based multiorgan phenotypes associated with adverse health outcomes....

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 28975197
DOI: 10.1001/jamacardio.2017.3145
PMCID: PMC5710362

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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