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Rapid Anxiety and Depression Diagnosis in Young Children Enabled by Wearable Sensors and Machine Learning.

, , , , , , and . EMBC, page 3983-3986. IEEE, (2018)

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Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood., , , , , , , , and . IEEE J. Biomedical and Health Informatics, 23 (6): 2294-2301 (2019)Movements Indicate Threat Response Phases in Children at Risk for Anxiety., , , , , , , and . IEEE J. Biomedical and Health Informatics, 21 (5): 1460-1465 (2017)Wearable sensors and machine learning diagnose anxiety and depression in young children., , , , , , and . BHI, page 410-413. IEEE, (2018)Rapid Anxiety and Depression Diagnosis in Young Children Enabled by Wearable Sensors and Machine Learning., , , , , , and . EMBC, page 3983-3986. IEEE, (2018)The development of performance-monitoring function in the posterior medial frontal cortex., , , , , , and . NeuroImage, 49 (4): 3463-3473 (2010)An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group., , , , , , , , , and 65 other author(s). Front. Neuroinform., (2019)The typical development of posterior medial frontal cortex function and connectivity during task control demands in youth 8-19 years old., , , and . NeuroImage, (2016)Removing the effect of response time on brain activity reveals developmental differences in conflict processing in the posterior medial prefrontal cortex., , , and . NeuroImage, 59 (1): 853-860 (2012)