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Original research
Early detection of autism spectrum disorder in young children with machine learning using medical claims data

Authors

  • Yu-Hsin Chen The Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, Pennsylvania, USA PubMed articlesGoogle scholar articles
  • Qiushi Chen The Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, Pennsylvania, USA PubMed articlesGoogle scholar articles
  • Lan Kong Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA PubMed articlesGoogle scholar articles
  • Guodong Liu Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USADepartment of Psychiatry and Behavioral Health, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USADepartment of Pediatrics, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USAThe Center for Applied Studies in Health Economics (CASHE), The Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Qiushi Chen; q.chen{at}psu.edu
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Citation

Chen Y, Chen Q, Kong L, et al
Early detection of autism spectrum disorder in young children with machine learning using medical claims data
BMJ Health & Care Informatics 2022;29:e100544. doi: 10.1136/bmjhci-2022-100544

Publication history

  • Received January 6, 2022
  • Accepted August 19, 2022
  • First published September 8, 2022.
Online issue publication 
September 08, 2022

  • Supplementary Data

    This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

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Copyright information

© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.