A secure distributed logistic regression protocol for the detection of rare adverse drug events
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Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE)WebDISCO: a web service for distributed cox model learning without patient-level data sharingBidirectional Data Collaborations in Distributed ResearchDevelopment of a web service for analysis in a distributed networkSecureMA: protecting participant privacy in genetic association meta-analysisEXpectation Propagation LOgistic REgRession (EXPLORER): distributed privacy-preserving online model learningData harmonization and federated analysis of population-based studies: the BioSHaRE project.Supporting Regularized Logistic Regression Privately and EfficientlyObservational Studies of Drug Safety in Multi-Database Studies: Methodological Challenges and OpportunitiesA normalization method for combination of laboratory test results from different electronic healthcare databases in a distributed research network.Logistic regression model training based on the approximate homomorphic encryption
P2860
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P2860
A secure distributed logistic regression protocol for the detection of rare adverse drug events
description
2012 nî lūn-bûn
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2012年の論文
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2012年論文
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2012年論文
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2012年論文
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2012年論文
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2012年论文
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name
A secure distributed logistic ...... on of rare adverse drug events
@ast
A secure distributed logistic ...... on of rare adverse drug events
@en
type
label
A secure distributed logistic ...... on of rare adverse drug events
@ast
A secure distributed logistic ...... on of rare adverse drug events
@en
prefLabel
A secure distributed logistic ...... on of rare adverse drug events
@ast
A secure distributed logistic ...... on of rare adverse drug events
@en
P2093
P2860
P50
P1476
A secure distributed logistic ...... on of rare adverse drug events
@en
P2093
Craig Earle
Khaled El Emam
Luk Arbuckle
Robyn Tamblyn
P2860
P304
P356
10.1136/AMIAJNL-2011-000735
P577
2012-08-07T00:00:00Z