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Leveraging Deep Representations of Radiology Reports in Survival
  Analysis for Predicting Heart Failure Patient Mortality

Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality

3 May 2021
Hyungchul Lee
E. Sholle
Ashley N. Beecy
S. Al’Aref
Yifan Peng
ArXivPDFHTML

Papers citing "Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality"

3 / 3 papers shown
Title
Exploring Optimal Granularity for Extractive Summarization of
  Unstructured Health Records: Analysis of the Largest Multi-Institutional
  Archive of Health Records in Japan
Exploring Optimal Granularity for Extractive Summarization of Unstructured Health Records: Analysis of the Largest Multi-Institutional Archive of Health Records in Japan
Kenichiro Ando
T. Okumura
Mamoru Komachi
Hiromasa Horiguchi
Yuji Matsumoto
37
7
0
20 Sep 2022
auton-survival: an Open-Source Package for Regression, Counterfactual
  Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data
Chirag Nagpal
Willa Potosnak
A. Dubrawski
CML
OOD
41
21
0
15 Apr 2022
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