ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2403.03368
  4. Cited By
Leveraging Federated Learning for Automatic Detection of Clopidogrel
  Treatment Failures

Leveraging Federated Learning for Automatic Detection of Clopidogrel Treatment Failures

5 March 2024
Samuel Kim
Min Sang Kim
    FedML
ArXivPDFHTML

Papers citing "Leveraging Federated Learning for Automatic Detection of Clopidogrel Treatment Failures"

5 / 5 papers shown
Title
Data augmentation method for modeling health records with applications
  to clopidogrel treatment failure detection
Data augmentation method for modeling health records with applications to clopidogrel treatment failure detection
Sunwoong Choi
Samuel Kim
53
2
0
28 Feb 2024
Detection and prediction of clopidogrel treatment failures using
  longitudinal structured electronic health records
Detection and prediction of clopidogrel treatment failures using longitudinal structured electronic health records
Samuel Kim
Ingu Sean Lee
Mijeong Irene Ban
Jane Chiang
30
2
0
12 Oct 2023
NVIDIA FLARE: Federated Learning from Simulation to Real-World
NVIDIA FLARE: Federated Learning from Simulation to Real-World
H. Roth
Yan Cheng
Yuhong Wen
Isaac Yang
Ziyue Xu
...
Daguang Xu
Nic Ma
Prerna Dogra
Mona G. Flores
Andrew Feng
FedML
AI4CE
75
99
0
24 Oct 2022
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati
Ujjwal Baid
Brandon Edwards
Micah J. Sheller
Shih-Han Wang
...
Prashant Shah
Bjoern Menze
J. Barnholtz-Sloan
Jason Martin
Spyridon Bakas
FedML
AI4CE
106
214
0
22 Apr 2022
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
397
17,468
0
17 Feb 2016
1