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Article

Feature Importance in Predicting Clinical Outcome: Statistics vs. Explainable Artificial Intelligence

2024-07-23

Abstract excerpt

<h4>ABSTRACT</h4> At the time of diagnosis for cancer patients, a wide array of data can be gathered, ranging from clinical information to multiple layers of omics data. Determining which of these data are most informative is crucial, not only for advancing biological understanding but also for clinical and economic considerations. This process facilitates the selection of the most significant markers, enhancing...

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Literature Corpus work
a8e272bc-0944-5fc2-821d-a44b5ac04876
DOI
10.1101/2024.07.21.604467
Open publication

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Feature Importance in Predicting Clinical Outcome: Statistics vs. Explainable Artificial IntelligenceDOI 10.1101/2024.07.21.604467
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