Explainable Survival Analysis of Censored Clinical Data Using a Neural Network Approach

Explainable Survival Analysis of Censored Clinical Data Using a Neural Network Approach

Survival analysis is a statistical approach widely employed to model the time of an event, such as a patient’s death. Classical approaches include the Kaplan–Meier estimator and Cox proportional hazards regression, which assume a linear relationship between the model’s covariates. However, the linea...

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Main Authors: Lisa Anita De Santi, Francesca Orlandini, Vincenzo Positano, Laura Pistoia, Francesco Sorrentino, Giuseppe Messina, Maria Grazia Roberti, Massimiliano Missere, Nicolò Schicchi, Antonino Vallone, Maria Filomena Santarelli, Alberto Clemente, Antonella Meloni
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:BioMedInformatics
Subjects:
survival analysis
thalassemia major
cardiac event
neural network
deep learning
XAI
Online Access:https://www.mdpi.com/2673-7426/5/2/17
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