Article

Identification of newborns at risk for autism using electronic medical records and machine learning

2019-10-08

Abstract excerpt

<h4>Importance</h4> Current approaches for early identification of individuals at high risk for autism spectrum disorder (ASD) in the general population are limited, where most ASD patients are not identified until after the age of 4. This is despite substantial evidence suggesting that early diagnosis and intervention improves developmental course and outcome. <h4>Objective</h4> Develop a machine learning (ML) me...

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Literature Corpus work: 0153c041-5fa6-5fb6-9ba1-6e5435622b28
DOI: 10.1101/19008367

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