Contrastive Transfer Learning for Prediction of Adverse Events in Hospitalized Patients

Objective: Deterioration index (DI) is a computer-generated score at a specific frequency that represents the overall condition of hospitalized patients using a variety of clinical, laboratory and physiologic data. In this paper, a contrastive transfer learning method is proposed and validated for e...

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Bibliographic Details

Published in:	IEEE Journal of Translational Engineering in Health and Medicine
Main Authors:	Hojjat Salehinejad, Anne M. Meehan, Pedro J. Caraballo, Bijan J. Borah
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Contrastive learning deterioration index early warning system transfer learning
Online Access:	https://ieeexplore.ieee.org/document/10363391/