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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Principais autores:	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
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2025-03-01
סדרה:	BioMedInformatics
נושאים:	survival analysis thalassemia major cardiac event neural network deep learning XAI
גישה מקוונת:	https://www.mdpi.com/2673-7426/5/2/17
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!