Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models

Yinchong Yang, Peter A. Fasching, Volker Tresp. Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models. In Finale Doshi-Velez, Jim Fackler, David C. Kale, Rajesh Ranganath, Byron C. Wallace, Jenna Wiens, editors, Proceedings of the Machine Learning for Health Care, MLHC 2017, Boston, Massachusetts, USA, 18-19 August 2017. Volume 68 of Proceedings of Machine Learning Research, pages 164-176, PMLR, 2017. [doi]

Abstract

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