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A Review of the Main Factors, Computational Methods, and Databases Used in Depression Studies.

, , , , , , and . HEALTHINF, page 413-420. SCITEPRESS, (2022)

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Assessment of the Relationship Between Attribute Coding and the Interpretability of Machine Learning Models: An Analysis in the Context of Children and Adolescents with Depression., , , and . BIOSTEC (2), page 482-489. SCITEPRESS, (2024)Improving the Instance Selection Method for Better Detection of Depression in Children and Adolescents., , and . BIOSTEC (2), page 404-411. SCITEPRESS, (2024)Classification and Characterization of Children and Adolescents with Depressive Symptomatology using Machine Learning., , , , , and . SMC, page 534-539. IEEE, (2019)Knowledge Extraction from Vector Machine Support in the Context of Depression in Children and Adolescents., , , and . CIARP, volume 11896 of Lecture Notes in Computer Science, page 545-555. Springer, (2019)Predicting Depression in Children and Adolescents using the SHAP Approach., , , , , and . HEALTHINF, page 514-521. SCITEPRESS, (2022)A Review of the Main Factors, Computational Methods, and Databases Used in Depression Studies., , , , , , and . HEALTHINF, page 413-420. SCITEPRESS, (2022)Genetic Algorithms for Feature Selection in the Children and Adolescents Depression Context., , , , , , and . ICMLA, page 1470-1475. IEEE, (2019)