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...
Збережено в:
| Автори: | , , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
SAGE Publishing
2022-02-01
|
| Серія: | Health Informatics Journal |
| Онлайн доступ: | https://doi.org/10.1177/14604582221077000 |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|