A method for machine learning generation of realistic synthetic datasets for validating healthcare applications
Digital health applications can improve quality and effectiveness of healthcare, by offering a number of new tools to users, which are often considered a medical device. Assuring their safe operation requires, amongst others, clinical validation, needing large datasets to test them in realistic clin...
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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
SAGE Publishing
2022-02-01
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| Collection: | Health Informatics Journal |
| Accès en ligne: | https://doi.org/10.1177/14604582221077000 |
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