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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: Theodoros N Arvanitis, Sean White, Stuart Harrison, Rupert Chaplin, George Despotou
Format: Artigo
Langue:Inglês
Publié: SAGE Publishing 2022-02-01
Collection:Health Informatics Journal
Accès en ligne:https://doi.org/10.1177/14604582221077000
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