Development and validation of a risk score model for predicting autism based on pre- and perinatal factors

This risk score model could lower the age limit for autism prediction with good discrimination performance, and it has unique advantages in clinical application

Autism · Autism spectrum disorder · CHAID · Cohort · Decision tree · Disease · Framingham Risk Score · Logistic regression · Machine learning · Psychiatry · Receiver operating characteristic · Stepwise regression · Autism Spectrum Disorder Research · Child Nutrition and Feeding Issues · Computer Science · Medicine · Virology and Viral Diseases · Internal Medicine

• Identification, Evaluation, and Management of Children With Autism Spectrum Disorder

  Susan L Hyman, Susan Hyman et al.•PEDIATRICS•2020

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• Autism

  Open Access•Meng-Chuan Lai, Michael V Lombardo et al.•The Lancet•2014

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• Dealing with missing data in a multi-question depression scale

  Open Access•Fiona M Shrive, Heather Stuart et al.•BMC Medical Research Methodology•2006

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• Costs of Autism Spectrum Disorders in the United Kingdom and the United States

  Open Access•Ariane V S Buescher, Ariane Buescher et al.•JAMA Pediatrics•2014

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• Reliability and Validity of the Simplified Chinese Version of the Aberrant Behavior Checklist in Chinese Autism Population

  Open Access•Siuching Kat, Lingzi Xu et al.•Frontiers in Psychiatry•2020

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• Environmental Factors in Autism

  Open Access•Andreas M Grabrucker•Frontiers in Psychiatry•2013

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