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Achieving high inter-rater reliability in establishing data labels: a retrospective chart review study
7
Zitationen
7
Autoren
2024
Jahr
Abstract
Our study suggests the detailed manual for chart review and structured training regimen resulted in a consistently high level of agreement among our reviewers during the chart review process. This establishes a robust foundation for generating high-quality labeled data, thereby enhancing the potential for developing accurate machine learning algorithms.
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