Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes.

Gondy LeroyJennifer G AndrewsMadison KeAlohi-PreeceAjay JaswaniHyunju SongMaureen Kelly GalindoSydney A Rice

Published in: Journal of the American Medical Informatics Association : JAMIA (2024)

Transparent ML is achievable even with small datasets. By focusing on intermediate steps, deep ML can provide transparent decisions. By leveraging data redundancies, ML errors at the intermediate level have a low impact on final outcomes.

Keyphrases

autism spectrum disorder
deep learning
electronic health record
attention deficit hyperactivity disorder
intellectual disability
light emitting
adverse drug
big data
emergency department
machine learning
convolutional neural network
skeletal muscle
insulin resistance
working memory
single cell
weight loss