Reverse Survival Model (RSM): A Pipeline for Explaining Predictions of Deep Survival Models

• Published in: arXiv.org
• Main Authors: Rezaei, Mohammad R, Reza Saadati Fard, Pourjafari, Ebrahim, Ziaei, Navid, Sameizadeh, Amir, Shafiee, Mohammad, Alavinia, Mohammad, Mansour Abolghasemian, Sajadi, Nick
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 27.10.2022
• Subjects: Artificial neural networks; Decision making; Health care; Reliability analysis; Survival; Survival analysis

The aim of survival analysis in healthcare is to estimate the probability of occurrence of an event, such as a patient's death in an intensive care unit (ICU). Recent developments in deep neural networks (DNNs) for survival analysis show the superiority of these models in comparison with other...