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An evaluation of machine learning techniques to predict the outcome of
  children treated for Hodgkin-Lymphoma on the AHOD0031 trial: A report from
  the Children's Oncology Group

An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial: A report from the Children's Oncology Group

15 January 2020
Cédric Beaulac
Jeffrey S. Rosenthal
Q. Pei
D. Friedman
S. Wolden
D. Hodgson
ArXivPDFHTML

Papers citing "An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial: A report from the Children's Oncology Group"

1 / 1 papers shown
Title
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
BDL
CML
OOD
115
1,231
0
02 Jun 2016
1