Identification of newborns at risk for autism using electronic medical records and machine learning.
CONCLUSIONS.: We conclude that ML algorithms combined with EMR capture early life ASD risk as well as reveal previously unknown features to be associated with ASD-risk. Such approaches may be able to enhance the ability for accurate and efficient early detection of ASD in large populations of children.
PMID: 32100657 [PubMed - in process]
Source: Journal of the Association of European Psychiatrists - Category: Psychiatry Tags: Eur Psychiatry Source Type: research
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