Machine learning methods for functional recovery prediction and prognosis in post-stroke rehabilitation: a systematic review

被引：0
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作者：
Silvia Campagnini
Chiara Arienti
Michele Patrini
Piergiuseppe Liuzzi
Andrea Mannini
Maria Chiara Carrozza
机构：
[1] IRCCS Fondazione Don Carlo Gnocchi Onlus,
[2] Scuola Superiore Sant’Anna,undefined
来源：
Journal of NeuroEngineering and Rehabilitation | / 19卷
关键词：
Automated pattern recognition; Clinical; Efficacy treatment; Machine learning; Prognosis; Regression analysis; Rehabilitation; Rehabilitation outcome; Stroke;
D O I：
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