A Machine Learning Approach to First Pass Reperfusion in Mechanical Thrombectomy: Prediction and Feature Analysis

Novel machine learning (ML) methods are being investigated across medicine for their predictive capabilities while boasting increased adaptability and generalizability. In our study, we compare logistic regression with machine learning for feature importance analysis and prediction in first-pass reperfusion.

Source: Journal of Stroke and Cerebrovascular Diseases - April 19, 2021 Category: Neurology Authors: Lohit Velagapudi, Nikolaos Mouchtouris, Richard F. Schmidt, David Vuong, Omaditya Khanna, Ahmad Sweid, Bryan Sadler, Fadi Al Saiegh, M. Reid Gooch, Pascal Jabbour, Robert H. Rosenwasser, Stavropoula Tjoumakaris Source Type: research