Machine Learning for Autism Spectrum Disorder Prediction: A Review of Data Augmentation and Feature Selection Techniques

Sahar Alkhaibari, Feng Dong

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DOI: 10.1002/hcs2.70098
Published: 2026-09-07
Container: Health Care Science
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/hcs2.70098,
  title = {Machine Learning for Autism Spectrum Disorder Prediction: A Review of Data Augmentation and Feature Selection Techniques},
  author = {Sahar Alkhaibari and Feng Dong},
  year = {2026},
  journal = {Health Care Science},
  doi = {10.1002/hcs2.70098},
  url = {https://doi.org/10.1002/hcs2.70098}
}

RIS

TY  - JOUR
TI  - Machine Learning for Autism Spectrum Disorder Prediction: A Review of Data Augmentation and Feature Selection Techniques
AU  - Sahar Alkhaibari
AU  - Feng Dong
PY  - 2026
JO  - Health Care Science
DO  - 10.1002/hcs2.70098
UR  - https://doi.org/10.1002/hcs2.70098
ER  -

APA

Alkhaibari, S., & Dong, F. (2026). Machine Learning for Autism Spectrum Disorder Prediction: A Review of Data Augmentation and Feature Selection Techniques. Health Care Science. https://doi.org/10.1002/hcs2.70098

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crossref · retrieved 2026-09-24T21:38:43.405Z