Rehab-DRLX: explainable neurorehabilitation prognosis using deep reinforcement learning and transformer-based models
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Neurorehabilitation poses a crucial problem in clinical recovery tasks, particularly for individuals with poor motor functions and neurological impairments, and problems in activities of daily living (ADL). To resolve this, we design a novel model, Rehab-DRLX,... ...
