Outcome Prediction for Patients with Bipolar Disorder Using Prodromal and Onset Data

Outcome Prediction for Patients with Bipolar Disorder Using Prodromal and Onset Data

Background: Predicting the outcomes of serious mental illnesses including bipolar disorder (BD) is clinically beneficial, yet difficult. Objectives: This study aimed to predict hospitalization and mortality for patients with incident BD using a deep neural network approach. Methods: We randomly samp...

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Bibliographic Details
Main Authors: Yijun Shao, Yan Cheng, Srikanth Gottipati, Qing Zeng-Treitler
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
prediction
bipolar disorder
deep neural network
support vector machine
Online Access:https://www.mdpi.com/2076-3417/13/3/1552

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