Article

Differential Treatment Benefit Prediction For Treatment Selection in Depression: A Deep Learning Analysis of STAR*D and CO-MED Data

2019-06-23

Abstract excerpt

<h4>Background</h4> Depression affects one in nine people, but treatment response rates remain low. There is significant potential in the use of computational modelling techniques to predict individual patient responses and thus provide more personalized treatment. Deep learning is a promising computational technique that can be used for differential treatment selection based on predicted remission probability. <...

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Literature Corpus work: 1b8862ea-c79e-5009-8508-a25e50716c86
DOI: 10.1101/679779

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