Data-Driven Methods for Predicting ADHD Diagnosis and Related Impairment: The Potential of a Machine Learning Approach
Author:
Funder
National Institutes of Health
Publisher
Springer Science and Business Media LLC
Subject
Psychiatry and Mental health,Developmental and Educational Psychology
Link
https://link.springer.com/content/pdf/10.1007/s10802-023-01022-7.pdf
Reference43 articles.
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3. Arildskov, T. W., Sonuga-Barke, E., Thomsen, P. H., Virring, A., & Østergaard, S. D. (2022). How much impairment is required for ADHD? No evidence of a discrete threshold. Journal of Child Psychology and Psychiatry, 63(2), 229–237. https://doi.org/10.1111/jcpp.13440.
4. Carbonneau, M. L., Demers, M., Bigras, M., & Guay, M. C. (2021). Meta-analysis of sex differences in ADHD symptoms and associated cognitive deficits. Journal of Attention Disorders, 25(12), 1640–1656. https://doi.org/10.1177/1087054720923736.
5. Couronné, R., Probst, P., & Boulesteix, A. L. (2018). Random forest versus logistic regression: a large-scale benchmark experiment. Bmc Bioinformatics, 19(1), 270–283. https://doi.org/10.1186/s12859-018-2264-5.
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