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Article

Predicting Self-harm Incidents Following Inpatient Visits using Disease Comorbidity Network

2020-02-04

Abstract excerpt

Self-harm is serious but preventable, particularly if the risk can be identified early. But the early detection of self-harm individuals is so far not satisfied. This study aims to develop and test a comorbidity network-enhanced deep learning framework to improve the prediction of individual self-harm within 12 months after hospital discharge. Between January 1, 2007, and December 31, 2010, we obtained 2,323 patie...

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Literature Corpus work
fbce980c-4cc3-5285-a103-fd41e225f825
DOI
10.1101/2020.02.03.20019331
Open publication

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Predicting Self-harm Incidents Following Inpatient Visits using Disease Comorbidity NetworkDOI 10.1101/2020.02.03.20019331
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