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2203.10442
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Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision
20 March 2022
Sam Preston
Mu-Hsin Wei
Rajesh Rao
Robert Tinn
Naoto Usuyama
Michael R. Lucas
R. Weerasinghe
S. Lee
B. Piening
Paul D. Tittel
Naveen Valluri
Tristan Naumann
Carlo Bifulco
Hoifung Poon
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Papers citing
"Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision"
4 / 4 papers shown
Title
TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
Javier González
Cliff Wong
Zelalem Gero
Jass Bagga
Risa Ueno
...
R. Leidner
B. Piening
Tristan Naumann
Carlo Bifulco
Hoifung Poon
11
4
0
02 Nov 2023
Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making
Aliyah R. Hsu
Yeshwanth Cherapanamjeri
Briton Park
Tristan Naumann
A. Odisho
Bin-Xia Yu
MedIm
13
0
0
27 May 2023
Improving Precancerous Case Characterization via Transformer-based Ensemble Learning
Yizhen Zhong
Jiajie Xiao
Thomas Vetterli
M. Matin
E. Loo
Jimmy J. Lin
R. Bourgon
Ofer Shapira
MedIm
16
1
0
10 Dec 2022
Modular Self-Supervision for Document-Level Relation Extraction
Sheng Zhang
Cliff Wong
Naoto Usuyama
Sarthak Jain
Tristan Naumann
Hoifung Poon
AI4TS
24
6
0
11 Sep 2021
1