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Automatic endpoint detection to support the systematic review process
Catherine Blake
,
Ana Lucic
School of Information Sciences
National Center for Supercomputing Applications (NCSA)
Siebel School of Computing and Data Science
Biomedical and Translational Sciences
Applied Research Institute
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Keyphrases
General Linear Model
100%
Diabetes
100%
Support Vector Machine
100%
F1 Score
100%
Endpoint Detection
100%
Systematic Review Process
100%
Underutilization
50%
Two-step Approach
50%
Oncogenesis
50%
Accuracy Measure
50%
System Accuracy
50%
Test Sentence
50%
Machine Learning Algorithms
50%
Metformin
50%
Two-machine
50%
Evidence-based Medicine
50%
Endocrinology
50%
Entity Recognition
50%
F1-measure
50%
Comparative Sentences
50%
Computer Science
Support Vector Machine
100%
Experimental Result
50%
Machine Learning Algorithm
50%
Entity Recognition
50%