Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005-2018.

ABSTRACT:

Background

Depression is a common mental health problem among veterans, with high mortality. Despite the numerous conducted investigations, the prediction and identification of risk factors for depression are still severely limited. This study used a deep learning algorithm to identify depression in veterans and its factors associated with clinical manifestations.

Methods

Our data originated from the National Health and Nutrition Examination Survey (2005-2018). A dataset of 2,546 veterans was identified using deep learning and five traditional machine learning algorithms with 10-fold cross-validation. Model performance was assessed by examining the area under the subject operating characteristic curve (AUC), accuracy, recall, specificity, precision, and F1 score.

Results<

SUBMITTER: Qu Z 

PROVIDER: S-EPMC10463693 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature