Published on in Vol 21, No 4 (2019): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13822, first published .
Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation Study

Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation Study

Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation Study

Qandeel Tariq   1, 2 * , MA ;   Scott Lanyon Fleming   2 * , BS ;   Jessey Nicole Schwartz   1, 2 , BA ;   Kaitlyn Dunlap   1, 2 , BSc, MRES ;   Conor Corbin   2 , BS ;   Peter Washington   2 , MS ;   Haik Kalantarian   1, 2 , PhD ;   Naila Z Khan   3 , PhD, MBBS, FCPS ;   Gary L Darmstadt   1, 4 , PhD ;   Dennis Paul Wall   1, 2 , PhD

1 Department of Pediatrics, Division of Systems Medicine, Stanford University, Palo Alto, CA, United States

2 Department of Biomedical Data Science, Stanford University, Stanford, CA, United States

3 Dhaka Shishu Children's Hospital, Dhaka, Bangladesh

4 Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University, Palo Alto, CA, United States

*these authors contributed equally

Corresponding Author:

  • Dennis Paul Wall, PhD
  • Department of Pediatrics
  • Division of Systems Medicine
  • Stanford University
  • 1265 Welch Road
  • Palo Alto, CA, 94305
  • United States
  • Phone: 1 6173946031
  • Email: dpwall@stanford.edu