240 citations · 254 across the 4 of their papers we have counts for
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stat.ML2018★ 240 cited
A Scalable Discrete-Time Survival Model for Neural Networks
Michael F. Gensheimer, Balasubramanian Narasimhan
There is currently great interest in applying neural networks to prediction tasks in medicine. It is important for predictive models to be able to use survival data, where each pat…
cs.AI2018
Abstract: Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients
Imon Banerjee, Michael Francis Gensheimer, Douglas J. Wood +3
We propose a deep learning model - Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) for estimating short-term life expectancy (3 months) of t…