SurvSHAP(t): Time-dependent explanations of machine learning survival models

Author:

Krzyziński Mateusz,Spytek Mikołaj,Baniecki HubertORCID,Biecek PrzemysławORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference72 articles.

1. High-performance medicine: The convergence of human and artificial intelligence;Topol;Nat. Med.,2019

2. DeepSurv: Personalized treatment recommender system using a Cox proportional hazards deep neural network;Katzman;BMC Med. Res. Methodol.,2018

3. DeepHit: A deep learning approach to survival analysis with competing risks;Lee,2018

4. DeepOmix: A scalable and interpretable multi-omics deep learning framework and application in cancer survival analysis;Zhao;Comput. Struct. Biotechnol. J.,2021

5. Explanatory Model Analysis;Biecek,2021

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