Prediction of recurrence and functional status in young ischemic stroke patients: Comparison of machine learning and traditional statistical methods

Neurological Sciences 2026

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Authors: Vinícius Viana Abreu Montanaro, Mina Ayad Jacob, KS Tan, Eleonora Maria de Jesus Oliveira, Thiago Falcão Hora, Ekker, Youssra Allach, Mengfei Cai, Karoliina Aarnio, Antonio Arauz, Marcel Arnold, Hee-Joon Bae
+53 more Lucrecia Bandeo, Miguel Barboza, Manuel Bolognese, Pablo Bonardo, Raf Brouns, Batnairamdal Chuluun, Enkhzaya Chuluunbatar, Charlotte Cordonnier, Byambasuren Dagvajantsan, Stephanie Debette, Adi Don, Christian Ezinger, Esme Ekizoğlu, Simon Fandler-Höfler, Annete Fromm, Thomas Gattringer, Christina Jern, Katarina Jood, Y. S. Kim, Steve J. Kittner, T. Kleinig, C Karin J M Klijn, Janika Kõrv, Vinod Kumar, K.W. Lee, Tsong-Hai Lee, Noortje A.M. Maaijwee, Nicolas Martinez-Majandar, João P Marto, Mehndiratta Mm, Victoria Ann Mifsud, Gisele Pacio, Vinod Patel, Matthew C. L. Phillips, Bartlomiej Piechowski-Jozwiak, Aleksandra Pikula, J L Ruiz-Sandoval, Bettina von Sarnowski, Richard Swartz, David Tanné, Turgut Tatlisumak, Vincent Thijs, Miguel Viana-Baptista, Rijna Vibo, Teddy Wu, Nilufer Yeşilot, Ullrike Waje-Andreassen, Alessando Pezzini, Anil Tuladhar, Jukka Putaala, Gabriel R de Freitas, Frank-Erik de Leeuw, Rui Li
DOI: 10.1007/s10072-026-08851-6
Cited by: 1
References: 25

Fields of Study & Subjects

Acute Ischemic Stroke Management Stroke Rehabilitation and Recovery Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Neurological Sciences
Publisher
Springer Science and Business Media LLC
Volume
47
Issue
3
Publication date
26 February 2026
Language
EN