Uncertainty Interpretation of the Machine Learning Survival Model Predictions

Uncertainty Interpretation of the Machine Learning Survival Model Predictions

A method for interpreting uncertainty of predictions provided by machine learning survival models is proposed. It is called UncSurvEx and aims to determine which features of an analyzed example lead to uncertain predictions of an explainable black-box survival model. One of the ideas behind the prop...

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Bibliographic Details
Main Authors: Lev V. Utkin, Vladimir S. Zaborovsky, Maxim S. Kovalev, Andrei V. Konstantinov, Natalia A. Politaeva, Alexey A. Lukashin
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Explainable AI
survival analysis
uncertainty
censored data
the Cox model
Online Access:https://ieeexplore.ieee.org/document/9524631/

Internet

https://ieeexplore.ieee.org/document/9524631/

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