Deep Active Learning for Clinical Entity Recognition
Source category: Machine Learning & Connected Health
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Clinical programming connects study data, standards, analysis and reporting. Explore implementation papers on clinical trials, validation and repeatable workflows, then follow a focused topic for a particular dataset or deliverable.
981 papers · Showing 581–600
Source category: Machine Learning & Connected Health
Source category: Strategic Implementation
Author collections: Aman Bahl · Steve Benjamin · Hrideep Antony
Source category: Poster Presentation
Author collections: Ben Straub · Michael Rimler
Source category: ePosters
Author collections: Aditya Gadiko · Christopher Hurley
Source category: Applications Development
Source category: Data Visualization and Reporting
Source category: Poster Presentation
Author collections: Guy Garrett
Source category: Technology & Applications
Author collections: Alexey Kuznetsov · Jorine Putter
Source category: Drug Development
Author collections: Berber Snoeijer · Samiul Haque
Source category: Poster Presentation
Source category: ePosters
Author collections: Syam Prasad Chandrala · Chaitanya Chowdagam
Source category: Leadership
Author collections: Aman Bahl · Steve Benjamin
Source category: Quick Tips
Author collections: Yuping Wu
Source category: Analytics and Statistics
Author collections: Phil Bowsher · Sean Lopp
Source category: Software Demonstrations
Source category: Medical Devices
Author collections: Phil Hall
Source category: Data Standards
Author collections: Madhusudhan Papasani · Swathi Kotla · Elisabeth Pyle
Source category: Submission Standards
Source category: Analytics and Statistics
Author collections: Amar Mahidadia · Sascha Ahrweiler
Source category: Data Handling & Data Engineering
Author collections: Glenn Borgmans · Sofie Stynen