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Predicting Dropout From Cognitive Behavioral Therapy for Panic Disorder Using Machine Learning Algorithms.

Sei Ogawa
Published in: Journal of clinical medicine research (2024)
The ML algorithms could detect dropout after CBT for PD with relatively high accuracy. For the purpose of clinical decision-making, we could use this ML method. This study was conducted as a naturalistic study in a routine clinical setting. Therefore, our results in ML approach could be generalized to regular clinical settings.
Keyphrases
  • machine learning
  • decision making
  • deep learning