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Predictive Structured-Unstructured Interactions in EHR Models: A Case Study of Suicide Prediction

2021-08-10

Abstract excerpt

Clinical risk prediction models powered by electronic health records (EHRs) are becoming increasingly widespread in clinical practice. With suicide-related mortality rates rising in recent years, it is becoming increasingly urgent to understand, predict, and prevent suicidal behavior. Here, we compare the predictive value of structured and unstructured EHR data for predicting suicide risk. We find that Naive Bayes...

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Literature Corpus work
b5d76cc2-f6e4-5da4-b40c-ce7b66ad23c0
DOI
10.1101/2021.08.10.21261831
Open publication

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Predictive Structured-Unstructured Interactions in EHR Models: A Case Study of Suicide PredictionDOI 10.1101/2021.08.10.21261831
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