Use of machine learning to improve autism screening and diagnostic instruments: effectiveness, efficiency, and multi‐instrument fusion-Reference-Cited by-同舟云学术

Use of machine learning to improve autism screening and diagnostic instruments: effectiveness, efficiency, and multi‐instrument fusion

Published:2016-04-19 Issue:8 Volume:57 Page:927-937
ISSN:0021-9630
Container-title:Journal of Child Psychology and Psychiatry
language:en
Short-container-title:J Child Psychol Psychiatr

Author:

Bone Daniel¹,Bishop Somer L.²,Black Matthew P.³,Goodwin Matthew S.⁴,Lord Catherine⁵,Narayanan Shrikanth S.¹

Affiliation:

1. Department of Electrical Engineering University of Southern California Los Angeles CA USA

2. San Francisco School of Medicine University of California San Francisco CA USA

3. Information Sciences Institute University of Southern California Los Angeles CA USA

4. Department of Health Sciences Northeastern University Boston MA USA

5. Center for Autism and the Developing Brain Weill Cornell Medical College New York NY USA

Funder

National Science Foundation

National Institute of Child Health and Human Development

National Institute of Mental Health

Achievement Rewards for College Scientists Foundation

Publisher

Wiley

Subject

Psychiatry and Mental health,Developmental and Educational Psychology,Pediatrics, Perinatology and Child Health

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jcpp.12559

Reference20 articles.

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4. 2015 M.P. Black D. Bone Z.I. Skordilis R. Gupta W. Xia P. Papadopoulos S.S. Narayanan Automated evaluation of non‐native English pronunciation quality: Combining knowledge‐and data‐driven features at multiple time scales 493 497

5. Applying Machine Learning to Facilitate Autism Diagnostics: Pitfalls and Promises

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