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Article

Patient phenotypes associated with outcomes after aneurysmal subarachnoid hemorrhage: a principal component analysis.

Stroke - 1 Mar 2014

Ibrahim George M, Morgan Benjamin R, Macdonald R Loch

Abstract excerpt

BACKGROUND AND PURPOSE: Predictors of outcome after aneurysmal subarachnoid hemorrhage have been determined previously through hypothesis-driven methods that often exclude putative covariates and require a priori knowledge of potential confounders. Here, we apply a data-driven approach, principal component analysis, to identify baseline patient phenotypes that may predict neurological outcomes. METHODS: Principal...

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Identifiers

PMID: 24425125
DOI: 10.1161/STROKEAHA.113.003078

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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