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Preserving Patient Privacy while Training a Predictive Model of
  In-hospital Mortality

Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality

1 December 2019
Pulkit Sharma
Farah E. Shamout
David Clifton
ArXivPDFHTML

Papers citing "Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality"

6 / 6 papers shown
Title
Deep learning for unsupervised domain adaptation in medical imaging:
  Recent advancements and future perspectives
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives
S. Kumari
Pravendra Singh
OOD
48
29
0
18 Jul 2023
Improving Fairness in AI Models on Electronic Health Records: The Case
  for Federated Learning Methods
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods
Raphael Poulain
Mirza Farhan Bin Tarek
Rahmatollah Beheshti
FedML
28
21
0
19 May 2023
Exploratory Analysis of Federated Learning Methods with Differential
  Privacy on MIMIC-III
Exploratory Analysis of Federated Learning Methods with Differential Privacy on MIMIC-III
Aron N. Horvath
Matteo Berchier
Farhad Nooralahzadeh
Ahmed Allam
Michael Krauthammer
FedML
23
2
0
08 Feb 2023
Federated learning: Applications, challenges and future directions
Federated learning: Applications, challenges and future directions
Subrato Bharati
Hossain Mondal
Prajoy Podder
V. B. Surya Prasath
FedML
39
53
0
18 May 2022
Federated Learning for Privacy-Preserving Open Innovation Future on
  Digital Health
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health
Guodong Long
Tao Shen
Yue Tan
Leah Gerrard
Allison Clarke
Jing Jiang
FedML
26
45
0
24 Aug 2021
Federated Learning Meets Natural Language Processing: A Survey
Federated Learning Meets Natural Language Processing: A Survey
Ming Liu
Stella Ho
Mengqi Wang
Longxiang Gao
Yuan Jin
Heng Zhang
FedML
30
67
0
27 Jul 2021
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