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A novel performance scoring quantification framework for stress test set-ups
Tal Kozlovski
, Jeffrey M. Hausdorff
,
Ori Davidov
, Nir Giladi
, Anat Mirelman
, Yoav Benjamini
Department of Statistics
Research output
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Contribution to journal
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Article
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peer-review
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Dive into the research topics of 'A novel performance scoring quantification framework for stress test set-ups'. Together they form a unique fingerprint.
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Keyphrases
Cardiac Testing
9%
Clinical Manifestations
9%
Clinical Measures
9%
Clinical Pathology
9%
Clinical Screening Tool
9%
Demanding Situations
9%
Expected Performance
9%
Neurodegeneration
9%
Performance Score
9%
Performance Scoring
100%
Physiological Capacity
9%
Physiological Reserve
9%
Quantification Framework
100%
Scoring Function
9%
Screening Tool
9%
Simulation Study
9%
Stress Level
9%
Stress Testing
100%
Test Performance
36%
Computer Science
And-States
25%
Domain Knowledge
50%
Scoring Function
25%
Simulation Study
25%
Speed-up
25%
Test Performance
100%
Engineering
Domain Knowledge
100%
Stress Level
50%
Psychology
Domain Knowledge
100%
Physiological Measure
50%
Medicine and Dentistry
Cardiac Stress Test
9%
Clinical Pathology
9%
Exercise Test
100%
Neurodegeneration
9%
Neuroscience
Neurodegeneration
100%