Загрузка...
Generative adversarial networks for imputing missing data for big data clinical research
BACKGROUND: Missing data is a pervasive problem in clinical research. Generative adversarial imputation nets (GAIN), a novel machine learning data imputation approach, has the potential to substitute missing data accurately and efficiently but has not yet been evaluated in empirical big clinical dat...
Сохранить в:
| Опубликовано в: : | BMC Med Res Methodol |
|---|---|
| Главные авторы: | , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2021
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8059005/ https://ncbi.nlm.nih.gov/pubmed/33879090 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-021-01272-3 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|