Predicting Treatment Outcomes Using Explainable Machine Learning in Children with Asthma
Asthma in children is a heterogeneous disease manifested by various phenotypes and endotypes. The level of disease control, as well as the effectiveness of anti-inflammatory treatment, is variable and inadequate in a significant portion of patients. By applying machine learning algorithms, we aimed...
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| Главные авторы: | , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2021-05-01
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| Серии: | Children |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/2227-9067/8/5/376 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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