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SymScore: Machine Learning Accuracy Meets Transparency in a Symbolic Regression-Based Clinical Score Generator

2024-11-04

Abstract excerpt

Self-report questionnaires play a crucial role in healthcare for assessing disease risks, yet their extensive length can be burdensome for respondents, potentially compromising data quality. To address this, machine learning-based shortened questionnaires have been developed. While these questionnaires possess high levels of accuracy, their practical use in clinical settings is hindered by a lack of transparency a...

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Literature Corpus work
cc68a16d-adb0-583b-b247-b2b42a5d436d
DOI
10.1101/2024.10.28.24316164
Open publication

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SymScore: Machine Learning Accuracy Meets Transparency in a Symbolic Regression-Based Clinical Score GeneratorDOI 10.1101/2024.10.28.24316164
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