Machine learning and Bayesian network analyses identifies associations with insomnia in a national sample of 31,285 treatment-seeking college students

Authors

• Adam Calderon, The Pennsylvania State University
• Seung Yeon Baik, The Pennsylvania State University
• Matthew H S Ng, Nanyang Technological University
• Ellen E Fitzsimmons-Craft, Washington University School of Medicine in St. Louis
• Daniel Eisenberg, University of California, Los Angeles
• Denise E Wilfley, Washington University School of Medicine in St. Louis
• C Barr Taylor, Stanford University
• Michelle G Newman, The Pennsylvania State University

Journal

BMC psychiatry

Publication Date

10-5-2024

Volume

24

Issue

1

First Page

656

Document Type

Open Access Publication

DOI

10.1186/s12888-024-06074-7

Rights and Permissions

Calderon, A., Baik, S.Y., Ng, M.H.S. et al. Machine learning and Bayesian network analyses identifies associations with insomnia in a national sample of 31,285 treatment-seeking college students. BMC Psychiatry 24, 656 (2024). https://doi.org/10.1186/s12888-024-06074-7 This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Recommended Citation

Calderon, Adam; Baik, Seung Yeon; Ng, Matthew H S; Fitzsimmons-Craft, Ellen E; Eisenberg, Daniel; Wilfley, Denise E; Taylor, C Barr; and Newman, Michelle G, "Machine learning and Bayesian network analyses identifies associations with insomnia in a national sample of 31,285 treatment-seeking college students." BMC psychiatry. 24, 1. 656 (2024).
https://digitalcommons.wustl.edu/oa_4/6582

Department

ICTS (Institute of Clinical and Translational Sciences)