Classification under uncertainty: Data analysis for diagnostic antibody testing
Formulating accurate and robust classification strategies is a key challenge of developing diagnostic and antibody tests. Methods that do not explicitly account for disease prevalence and uncertainty therein can lead to significant classification errors. We present a novel method that leverages opti...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Oxford University Press
2021
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Subjects: | |
Online Access: | View Fulltext in Publisher |