Applications of machine learning approaches for pediatric asthma exacerbation management: a systematic review
Abstract Background Pediatric asthma is a common chronic respiratory disease worldwide, and its acute exacerbation events significantly impact children’s health and quality of life. Machine learning, an advanced data analysis technique, has shown great potential in healthcare applications in recent...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-04-01
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| Series: | BMC Medical Informatics and Decision Making |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12911-025-02990-0 |
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