Treatment outcome prediction using multi-task learning: application to botulinum toxin in gait rehabilitation

HIGHLIGHTS

• who: Adil Khan et al. from the 1020, France Department of Computer Science, Sukkur IBA University, Sukkur, Sindh, Pakistan have published the research: Treatment Outcome Prediction Using Multi-Task Learning: Application to Botulinum Toxin in Gait Rehabilitation, in the Journal: Sensors 2022, 0 of /2022/
• what: The authors propose a framework for optimizing personalized treatment outcomes for patients with neurological diseases. For the prediction of knee and ankle kinematics after botulinum toxin type A (BTX-A) treatment the authors propose: a regression strategy based on a multi-task architecture composed of LSTM models; to introduce . . .
  

   

  

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