SurvBeNIM: The Beran-Based Neural Importance Model for Explaining Survival Models

SurvBeNIM: The Beran-Based Neural Importance Model for Explaining Survival Models

A new method called the Survival Beran-based Neural Importance Model (SurvBeNIM) is proposed. It aims to explain predictions of machine learning survival models, which are in the form of survival or cumulative hazard functions. The main idea behind SurvBeNIM is to extend the Beran estimator by incor...

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Bibliographic Details
Main Authors: Lev V. Utkin, Danila Y. Eremenko, Andrei V. Konstantinov, Vladimir A. Muliukha
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Interpretable model
explainable AI
LIME
neural additive model
survival analysis
censored data
Online Access:https://ieeexplore.ieee.org/document/10858699/
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