Abstract P427: Use of Machine Learning to Determine Predictors of Intracerebral Hemorrhage Expansion

• Published in: Stroke (1970) Vol. 52; no. Suppl_1; p. AP427
• Main Authors: Azher, Aidan I, Coronado, Ivan, Savitz, Sean I, Aronowski, Jaroslaw A, Salazar-Marioni, Sergio, Abdelkhaleq, Rania, Abdulrazzak, Mohammad Ammar, Greco, Jonathan, Sheth, Sunil, Giancardo, Luca
• Format: Journal Article
• Language: English
• Published: Lippincott Williams & Wilkins 01.03.2021

BackgroundIntracerebral hemorrhage (ICH) constitutes upto 40% mortality in first 30 days. Early identification of predictors of hematoma expansion (HE) may improve efforts to prevent its occurrence and improve clinical outcome. MethodsWe identified patients with ICH and follow-up imaging. HE was def...