A Novel Method for Medical Predictive Models in Small Data Using Out-of-Distribution Data and Transfer Learning

Applying deep learning to medical research with limited data is challenging. This study focuses on addressing this difficulty through a case study, predicting acute respiratory failure (ARF) in patients with acute pesticide poisoning. Commonly, out-of-distribution (OOD) data are overlooked during mo...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Inyong Jeong, Yeongmin Kim, Nam-Jun Cho, Hyo-Wook Gil, Hwamin Lee
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Subjects:	transfer learning out-of-distribution data machine learning limited medical data acute respiratory failure acute pesticide poisoning
Online Access:	https://www.mdpi.com/2227-7390/12/2/237