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Article

Machine Learning Models for the Prediction of Early-Onset Bipolar Using Electronic Health Records

2024-02-21

Abstract excerpt

<h4>Objective</h4> Early identification of bipolar disorder (BD) provides an important opportunity for timely intervention. In this study, we aimed to develop machine learning models using large-scale electronic health record (EHR) data including clinical notes for predicting early-onset BD. <h4>Method</h4> Structured and unstructured data were extracted from the longitudinal EHR of the Mass General Brigham health...

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Literature Corpus work
23a124f9-ba53-5087-bd2b-f81b7c663b1f
DOI
10.1101/2024.02.19.24302919
Open publication

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Machine Learning Models for the Prediction of Early-Onset Bipolar Using Electronic Health RecordsDOI 10.1101/2024.02.19.24302919
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