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April 1, 2024Journal of Clinical and Translational ScienceOpen Access

394 A Machine Learning Approach to Predicting High-Risk Irritability Trajectories Across the Transition to Adolescence

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Authors

LJLeslie JordanUniversity of Maryland, College ParkAPAlyssa J. ParkerUniversity of Maryland, College ParkJWJillian Lee WigginsSan Diego State University

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Jordan et al. (2024) studied this question.

synapsesocial.com/papers/68e713d7b6db64358768cb04https://doi.org/10.1017/cts.2024.344
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Developmental trajectories of irritability during the transition to adolescence: Examining caregiver and youth perspectives and sex differences2025
  2. 2Trajectory of Irritability in Autistic and Typically Developing Youth From Early Childhood to Adolescence2025 · 1 citations
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  4. 4Sex‐specific pathways from early irritability trajectories to later suicidal ideations and behaviors: Findings from the ABCD study®2025 · 3 citations
  5. 5Diagnostic- and age-based measurement invariance of irritability in youths2026 · 1 citations