Bayesian Networks for Prescreening in Depression: Algorithm Development and Validation (Preprint)
Eduardo Maekawa,
Eoin Martino Grua,
Carina Akemi Nakamura
et al.
Abstract:BACKGROUND
Identifying individuals with depressive symptomatology (DS) promptly and effectively is of paramount importance for providing timely treatment. Machine learning models have shown promise in this area, yet studies often fall short in demonstrating the practical benefits of utilizing these models and fail to provide tangible real-world applications.
OBJECTIVE
The objectives of this stu… Show more
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