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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-05-01
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| Series: | Children |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-9067/8/5/376 |