Is it Beneficial to Use Different Thresholds Over Time for Early Prediction Model?

Is it Beneficial to Use Different Thresholds Over Time for Early Prediction Model?

In production settings, deep learning models often rely on fixed thresholds. This study investigates whether using varying thresholds over time enhances predictive accuracy and clinical utility, especially for early sepsis prediction. We retrospectively analyzed EMR data from Hallym University Chun...

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Bibliographic Details
Main Authors: Sungsoo HONG, Hyunwoo CHOO, Kyung Hyun LEE, Sungjun HONG, Ki-Byung LEE, Chang Youl LEE
Format: Article
Language:English
Published: Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca 2024-11-01
Series:Applied Medical Informatics
Subjects:
Deep learning
Early prediction
Sepsis
Threshold adjustment
Net benefit
Online Access:https://ami.info.umfcluj.ro/index.php/AMI/article/view/1073
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