Article

Quantifying Trust: Stability of SHAP in Pan-Cancer Models

2026-08-14

Abstract excerpt

1) Background: As Machine Learning (ML) transitions from theoretical benchmarks to clinical implementation, the role of Explainable AI (XAI) has evolved from a technical preference to a core requirement for trust and accountability. A significant obstacle remains: the empirical stability of these explanations is often untested against the noise and imperfections inherent in real-world patient data. (2) Methods: Th...

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Literature Corpus work: f1c808dc-ec07-5d9c-9a69-fe039e0a8fd2
DOI: 10.20944/preprints202608.0944.v1

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