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Yang S Liu

Showing results (11-20 of 28) with videos related to

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Journal of Affective Disorders|September 8, 2023
Corrigendum to "Prediction of depression onset risk among middle-aged and elderly adults using machine learning and Canadian Longitudinal Study on Aging cohort" [J. Affect. Disord. vol. 339 (2023) page 52-57]Yipeng Song, Lei Qian, Jie Sui, et al.
Journal of Affective Disorders|April 26, 2024
Prospective prediction of anxiety onset in the Canadian longitudinal study on aging (CLSA): A machine learning studyYutong Li, Yipeng Song, Jie Sui, et al.
European Child & Adolescent Psychiatry|August 29, 2025
Patient characteristics' moderation of multinutrients treatment response in school-age children with attention deficit hyperactivity disorderBrenda My Leung, Cindy Feng, Anupam Roy, et al.
Journal of Affective Disorders|June 28, 2023
Prediction of depression onset risk among middle-aged and elderly adults using machine learning and Canadian Longitudinal Study on Aging cohortYipeng Song, Lei Qian, Jie Sui, et al.
Journal of Affective Disorders|April 26, 2022
Depression screening using a non-verbal self-association task: A machine-learning based pilot studyYang S Liu, Yipeng Song, Naomi A Lee, et al.
Psychiatry Research|October 10, 2025
Evaluating ADHD screening tools: A comparative analysis of accuracy, cost, and complexityJayden Mackie, Caleb Ji, Alan Davalos-Guzman, et al.
Digital Health|November 6, 2023
Risk factors for developmental vulnerability: Insight from population-level surveillance using the Early Development InstrumentFernanda Talarico, Yang S Liu, Dan Metes, et al.
PLOS Digital Health|September 17, 2024
Six-year (2016-2022) longitudinal patterns of mental health service utilization rates among children developmentally vulnerable in kindergarten and the COVID-19 pandemic disruptionFernanda Talarico, Dan Metes, Mengzhe Wang, et al.
Neurobiology of Aging|April 21, 2024
Brain age of rhesus macaques over the lifespanYang S Liu, Madhura Baxi, Christopher R Madan, et al.
Gerontology|September 19, 2023
Associations between Differential Aging and Lifestyle, Environment, Current, and Future Health Conditions: Findings from Canadian Longitudinal Study on AgingYipeng Song, Yang S Liu, Fernanda Talarico, et al.
Pageof 3

Showing results (11-20 of 28) with videos related to

Sort By:
Pageof 3
Journal of Affective Disorders|September 8, 2023
Corrigendum to "Prediction of depression onset risk among middle-aged and elderly adults using machine learning and Canadian Longitudinal Study on Aging cohort" [J. Affect. Disord. vol. 339 (2023) page 52-57]Yipeng Song, Lei Qian, Jie Sui, et al.
Journal of Affective Disorders|April 26, 2024
Prospective prediction of anxiety onset in the Canadian longitudinal study on aging (CLSA): A machine learning studyYutong Li, Yipeng Song, Jie Sui, et al.
European Child & Adolescent Psychiatry|August 29, 2025
Patient characteristics' moderation of multinutrients treatment response in school-age children with attention deficit hyperactivity disorderBrenda My Leung, Cindy Feng, Anupam Roy, et al.
Journal of Affective Disorders|June 28, 2023
Prediction of depression onset risk among middle-aged and elderly adults using machine learning and Canadian Longitudinal Study on Aging cohortYipeng Song, Lei Qian, Jie Sui, et al.
Journal of Affective Disorders|April 26, 2022
Depression screening using a non-verbal self-association task: A machine-learning based pilot studyYang S Liu, Yipeng Song, Naomi A Lee, et al.
Psychiatry Research|October 10, 2025
Evaluating ADHD screening tools: A comparative analysis of accuracy, cost, and complexityJayden Mackie, Caleb Ji, Alan Davalos-Guzman, et al.
Digital Health|November 6, 2023
Risk factors for developmental vulnerability: Insight from population-level surveillance using the Early Development InstrumentFernanda Talarico, Yang S Liu, Dan Metes, et al.
PLOS Digital Health|September 17, 2024
Six-year (2016-2022) longitudinal patterns of mental health service utilization rates among children developmentally vulnerable in kindergarten and the COVID-19 pandemic disruptionFernanda Talarico, Dan Metes, Mengzhe Wang, et al.
Neurobiology of Aging|April 21, 2024
Brain age of rhesus macaques over the lifespanYang S Liu, Madhura Baxi, Christopher R Madan, et al.
Gerontology|September 19, 2023
Associations between Differential Aging and Lifestyle, Environment, Current, and Future Health Conditions: Findings from Canadian Longitudinal Study on AgingYipeng Song, Yang S Liu, Fernanda Talarico, et al.
Pageof 3