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Momentary Depression Severity Prediction in Patients With Acute Depression Who Undergo Sleep Deprivation Therapy: Speech-Based Machine Learning Approach

Momentary Depression Severity Prediction in Patients With Acute Depression Who Undergo Sleep Deprivation Therapy: Speech-Based Machine Learning Approach

MAEs provide a straightforward interpretation given that they are calculated in the same units as the underlying data. Clinical relevance can be inferred. Higher R² scores and lower MAE scores indicate superior model performance. P values In our first analytical approach, we used group 5-fold nested cross-validation to assess model performance.

Lisa-Marie Hartnagel, Daniel Emden, Jerome C Foo, Fabian Streit, Stephanie H Witt, Josef Frank, Matthias F Limberger, Sara E Schmitz, Maria Gilles, Marcella Rietschel, Tim Hahn, Ulrich W Ebner-Priemer, Lea Sirignano

JMIR Ment Health 2024;11:e64578