Data-Driven Identification of Brain–Behavioral and Sociodemographic Predictors of Anxiety Severity in Children Using Machine Learning

We worked to ensure sex and gender balance in the recruitment of human participants. We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. We worked to ensure that the study questionnaires were prepared in an inclusive way. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. One or more of the authors of this paper self-identifies as living with a disability. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented sexual and/or gender groups in science. One or more of the authors of this paper received support from a program designed to increase minority representation in science.

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Publication Details

Journal
JAACAP Open
Published
2025-06-24
DOI
https://doi.org/10.1016/j.jaacop.2025.05.005
Primary Topic
Child and Adolescent Psychosocial and Emotional Development
Type
article
Field-Weighted Citation Impact
0.00

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article

Data-Driven Identification of Brain–Behavioral and Sociodemographic Predictors of Anxiety Severity in Children Using Machine Learning

Kate D. Fitzgerald, Ann M. Iturra‐Mena, Katherine Lisa Rosenblum, Jason S. Moser et al.
JAACAP Open
Child and Adolescent Psychosocial and Emotional Development
article

Data-Driven Identification of Brain–Behavioral and Sociodemographic Predictors of Anxiety Severity in Children Using Machine Learning

Kate D. Fitzgerald, Ann M. Iturra‐Mena, Katherine Lisa Rosenblum, Jason S. Moser, Maria Muzik, Melanie M. Wall, Sherry Y.H. Chen
article en

Abstract

We worked to ensure sex and gender balance in the recruitment of human participants. We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. We worked to ensure that the study questionnaires were prepared in an inclusive way. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. One or more of the authors of this paper self-identifies as living with a disability. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented sexual and/or gender groups in science. One or more of the authors of this paper received support from a program designed to increase minority representation in science.

JAACAP OpenVol. 3(4)
University of Michigan (US), New York Psychoanalytic Society and Institute (US), New York State Psychiatric Institute, Columbia University (US), Michigan State University (US)
National Institute of Mental Health
Openalex Percentile: Top 79%
Child and Adolescent Psychosocial and Emotional Development
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