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Testimonial injustice in medical machine learning
Giorgia Pozzi
Ethics & Philosophy of Technology
Research output
:
Contribution to journal
›
Article
›
Scientific
›
peer-review
15
Citations (Scopus)
26
Downloads (Pure)
Overview
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INIS
machine learning
100%
patients
60%
prediction
10%
bears
10%
applications
10%
risks
10%
dimensions
10%
drugs
10%
monitoring
10%
usa
10%
medicine
10%
Social Sciences
Machines
100%
Credibility
40%
Trustworthiness
10%
Social Class
10%
Social Inequality
10%
Forecasting
10%
Medical Sciences
10%
Analysis
10%
Risk
10%
Drugs
10%
Physician-Patient Relations
10%
Responsibility
10%
Pharmacology, Toxicology and Pharmaceutical Science
2 Decanoylamino 3 Morpholino 1 Phenyl 1 Propanol
100%
Opiate
50%
Drug Monitoring
50%
Medicine and Dentistry
Learning
100%
Patient
40%
Opiate
10%
Patient Care
10%
Social Group
10%
Analysis
10%
Medicine
10%
Arts and Humanities
Epistemic Justification
10%