Загрузка...
STAN: Spatio-Temporal Attention Network for Pandemic Prediction Using Real World Evidence
Objective: The COVID-19 pandemic has created many challenges that need immediate attention. Various epidemiological and deep learning models have been developed to predict the COVID-19 outbreak, but all have limitations that affect the accuracy and robustness of the predictions. Our method aims at a...
Сохранить в:
| Опубликовано в: : | ArXiv |
|---|---|
| Главные авторы: | , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Cornell University
2020
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7743072/ https://ncbi.nlm.nih.gov/pubmed/33330741 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|