Prediction of declarative memory profile in panic disorder patients: a machine learning-based approach

Prediction of declarative memory profile in panic disorder patients: a machine learning-based approach

Objective: To develop a classification framework based on random forest (RF) modeling to outline the declarative memory profile of patients with panic disorder (PD) compared to a healthy control sample. Methods: We developed RF models to classify the declarative memory profile of PD patients in co...

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Bibliographic Details
Main Authors: Felipe Dalvi-Garcia, Laiana Azevedo Quagliato, Donald J. Bearden, Antonio Egidio Nardi
Format: Article
Language:English
Published: Associação Brasileira de Psiquiatria (ABP) 2024-02-01
Series:Brazilian Journal of Psychiatry
Subjects:
Panic disorder
memory
cognitive dysfunction
random forest classification
Rey auditory verbal learning test
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462023000600482&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462023000600482&tlng=en

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