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Machine learning for pattern detection in cochlear implant FDA adverse event reports
- Source :
- Cochlear implants international. 21(6)
- Publication Year :
- 2020
-
Abstract
- Importance: Medical device performance and safety databases can be analyzed for patterns and novel opportunities for improving patient safety and/or device design. Objective: The objective of this ...
- Subjects :
- Adult
Male
Medical device
genetic structures
Databases, Factual
medicine.medical_treatment
Machine Learning
Speech and Hearing
Patient safety
Pattern detection
Cochlear implant
medicine
Humans
Adverse effect
Child
business.industry
United States Food and Drug Administration
fungi
food and beverages
Bayes Theorem
Public Reporting of Healthcare Data
medicine.disease
Cochlear Implantation
United States
Equipment Failure Analysis
Cochlear Implants
Logistic Models
Otorhinolaryngology
Female
Medical emergency
business
Algorithms
Subjects
Details
- ISSN :
- 17547628
- Volume :
- 21
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- Cochlear implants international
- Accession number :
- edsair.doi.dedup.....06b45ba842b47b0a6a66ab7bc04a7261