This paper is in the following e-collection/theme issue:

Machine Learning (1465) Mobile Health (mhealth) (2939) Autism Spectrum Disorder (ASD) (109) Health Services in Resource-Poor Settings and LMICs (414) Artificial Intelligence (1371) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (565)

Published on in Vol 9, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29242, first published .
Informing Developmental Milestone Achievement for Children With Autism: Machine Learning Approach

Informing Developmental Milestone Achievement for Children With Autism: Machine Learning Approach

Informing Developmental Milestone Achievement for Children With Autism: Machine Learning Approach

Authors of this article:

Munirul M Haque1 Author Orcid Image ;   Masud Rabbani2 Author Orcid Image ;   Dipranjan Das Dipal2 Author Orcid Image ;   Md Ishrak Islam Zarif2 Author Orcid Image ;   Anik Iqbal2 Author Orcid Image ;   Amy Schwichtenberg3 Author Orcid Image ;   Naveen Bansal4 Author Orcid Image ;   Tanjir Rashid Soron5 Author Orcid Image ;   Syed Ishtiaque Ahmed6 Author Orcid Image ;   Sheikh Iqbal Ahamed2 Author Orcid Image
Article Authors Cited by (17) Tweetations (5) Metrics

Munirul M Haque   1 * , PhD ;   Masud Rabbani   2 * , BSc ;   Dipranjan Das Dipal   2 * , MSc ;   Md Ishrak Islam Zarif   2 * , BSc ;   Anik Iqbal   2 * , PhD ;   Amy Schwichtenberg   3 * , PhD ;   Naveen Bansal   4 * , PhD ;   Tanjir Rashid Soron   5 * , MD ;   Syed Ishtiaque Ahmed   6 * , PhD ;   Sheikh Iqbal Ahamed   2 * , PhD

1 R.B. Annis School of Engineering, University of Indianapolis, Indianapolis, IN, United States

2 Ubicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, United States

3 College of Health and Human Sciences, Purdue University, West Lafayette, IN, United States

4 Department of Mathematical and Statistical Sciences, Marquette University, Milwaukee, WI, United States

5 Telepsychiatry Research and Innovation Network Ltd, Dhaka, Bangladesh

6 Department of Computer Science, University of Toronto, Toronto, ON, Canada

*all authors contributed equally

Corresponding Author:

  • Masud Rabbani, BSc
  • Ubicomp Lab, Department of Computer Science
  • Marquette University
  • 1422 W Kilbourn Ave
  • 102
  • Milwaukee, WI, 53233-1784
  • United States
  • Phone: 1 4143267769
  • Email: masud.rabbani@marquette.edu