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Learning Eligibility in Cancer Clinical Trials using Deep Neural
  Networks
v1v2v3 (latest)

Learning Eligibility in Cancer Clinical Trials using Deep Neural Networks

22 March 2018
A. Bustos
A. Pertusa
ArXiv (abs)PDFHTML

Papers citing "Learning Eligibility in Cancer Clinical Trials using Deep Neural Networks"

5 / 5 papers shown
Title
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic
  Tree-Based Memory Network
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-Based Memory Network
B. Theodorou
Cao Xiao
Jimeng Sun
18
3
0
19 Jul 2023
Productivity, Portability, Performance: Data-Centric Python
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
158
101
0
01 Jul 2021
Group-Sparse Matrix Factorization for Transfer Learning of Word
  Embeddings
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
Kan Xu
Xuanyi Zhao
Hamsa Bastani
Osbert Bastani
54
6
0
18 Apr 2021
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching
Junyi Gao
Cao Xiao
Lucas Glass
Jimeng Sun
63
69
0
15 Jun 2020
PadChest: A large chest x-ray image dataset with multi-label annotated
  reports
PadChest: A large chest x-ray image dataset with multi-label annotated reports
A. Bustos
A. Pertusa
J. M. Salinas
M. Iglesia-Vayá
LM&MA
86
622
0
22 Jan 2019
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