Machine learning-assisted diagnosis classification of primary immune dysregulation using IDDA2.1 phenotype profiling.
The Journal of allergy and clinical immunology, cilt.157, sa.2, ss.470-485, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 157 Sayı: 2
- Basım Tarihi: 2026
- Doi Numarası: 10.1016/j.jaci.2025.10.022
- Dergi Adı: The Journal of allergy and clinical immunology
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, EMBASE, MEDLINE, Natural Science Collection (ProQuest), Biological Science Database (ProQuest), Health Research Premium Collection (ProQuest), Pharma Collection (ProQuest)
- Sayfa Sayıları: ss.470-485
- Bursa Uludağ Üniversitesi Adresli: Evet