Predicting depressive symptoms through social support: a machine learning approach in military populations. [PDF]
Chen KH, Chiu PL, Chen MH.
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Using explainable machine learning to investigate the relationship between childhood maltreatment, positive psychological traits, and CPTSD symptoms. [PDF]
Zhou X, Liang Z, Zhang G.
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[Regional variance in compliance with guidelines of the Brazilian National School Feeding Program: a comparative analysis between the Northeast and South regions of Brazil with machine learning]. [PDF]
Sgura BH +3 more
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Filtrando atributos para mejorar procesos de aprendizaje [PDF]
IX Conferencia de la Asociación Española para la Inteligencia Artificial. Gijón, EspañaLos sistemas de aprendizaje automático han sido tradicionalmente usados para extraer conocimiento a partir de conjuntos de ejemplos descritos mediante atributos ...
Coz Velasco, Juan José del +2 more
core
Machine learning in predicting severe acute respiratory infection outbreaks. [PDF]
Silva ADD +4 more
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How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students? A systematic review. [PDF]
Schaab BL +9 more
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Machine learning in health financing: benefits, risks and regulatory needs. [PDF]
Mathauer I, Oranje M.
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Predicting the outcome of psychological treatments for borderline personality disorder and posttraumatic stress disorder: a machine learning approach to predict long-term outcome of Narrative Exposure Therapy vs. Dialectical Behavioral Therapy based treatment. [PDF]
Blaß J +5 more
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Artificial intelligence and digital health in Colombia: outlook of the most recent advances and future challenges [PDF]
López DM, Osorio JS.
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Development and proof-of-concept of a treatment target recommendation algorithm in the context of cognitive processing therapy. [PDF]
Held P, Smith DL, Pridgen SA.
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