Abstract TMP115: Identifying Overlooked Risk Factors For Stroke From A Prediction Model Constructed From Half A Million Adults In Taiwan

Stroke8.30
Volume: 49, Issue: Suppl_1
Published: Jan 22, 2018
Abstract
Background: American Stroke Association has listed hypertension, smoking, diabetes, high cholesterol, physical inactivity and atrial fibrillation as the major risk factors for stroke. We developed a new model to predict stroke mortality using the 15-year prospective data of half a million adults in Taiwan. The model identified additional important risk factors. Method: In a health surveillance program conducted from 1994 to 2008, a cohort of...
Paper Details
Title
Abstract TMP115: Identifying Overlooked Risk Factors For Stroke From A Prediction Model Constructed From Half A Million Adults In Taiwan
Published Date
Jan 22, 2018
Journal
Volume
49
Issue
Suppl_1
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.