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Learning health systems: An anonymous network routing protocol
Thibaud Ecarot
, Benoit Fraikin
, Luc Lavoie
, Mark McGilchrist
, Jean Francois Ethier
Health and Clinical Services
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
158
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Dive into the research topics of 'Learning health systems: An anonymous network routing protocol'. Together they form a unique fingerprint.
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Keyphrases
Data Access
100%
Learning Health System
100%
Routing Protocol
100%
Network Routing Protocol
100%
Anonymous Networks
100%
Knowledge Transfer
50%
Curb
50%
Lurking
50%
Law
50%
Latency
50%
Access Roads
50%
Health Services Research
50%
Healthcare Research
50%
Health Knowledge
50%
Synthetic Data
50%
Minimal Impact
50%
Delay Time
50%
Emerging Approaches
50%
Anonymity
50%
Security Threats
50%
Ethical Requirements
50%
Research Transfer
50%
Service Knowledge
50%
Information Quantity
50%
NETmix
50%
Service Transfer
50%
Message Routing
50%
Strong Interconnections
50%
Multi-objective Optimization Problem
50%
Re-identification Risk
50%
Traffic Analysis
50%
All-at-once
50%
Computer Science
Routing Protocol
100%
Network Routing
100%
Anonymous Network
100%
Data Access
66%
Knowledge Transfer
33%
Healthcare Service
33%
Optimization Problem
33%
Reidentification
33%
Anonymity
33%
Learning Healthcare System
33%
time-delay
33%
Synthetic Datasets
33%
Traffic Analysis
33%
Multi-Objective Optimization
33%