Performance analysis of artificial intelligence‐based classification models for diagnosing asthma in children
Machine learning algorithms show promise in improving diagnostic accuracy and efficiency in pediatric asthma, though further research is needed.
Authors
- Zeynep Şengül Emeksiz (ORCID: https://orcid.org/0000-0001-7648-0352)
- Emine Dibek Mısırlıoğlu (ORCID: https://orcid.org/0000-0002-3241-2005)
- Gökhan Yörüsün (ORCID: https://orcid.org/0000-0002-0558-7192)
- Çağatay Berke Erdaş (ORCID: https://orcid.org/0000-0003-3467-9923)
- Ahmet Selmanoğlu (ORCID: https://orcid.org/0000-0002-6748-7330)
- Özge Yılmaz Topal (ORCID: https://orcid.org/0000-0001-5245-2488)
- Funda Aytekin Güvenir (ORCID: https://orcid.org/0000-0002-2703-8055)
Institutions
- Başkent University (TR)
- Başkent University Hospital (TR)
Publication Details
- Journal
- Pediatric Allergy and Immunology
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1111/pai.70258
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00