A B-Type Natriuretic Peptide-Based Machine Learning Model for Early Hemodynamic Symptomatic Patent Ductus Arteriosus Prediction
A machine learning-based model combining BNP with clinical variables showed high accuracy in predicting hsPDA. The accompanying calculator may assist clinicians in early risk stratification, though external validation is required before clinical implementation.
Authors
- Guilherme Silveira Procianoy (ORCID: https://orcid.org/0000-0002-9903-0861)
- Renato S. Procianoy (ORCID: https://orcid.org/0000-0001-8297-4164)
- Rita C. Silveira (ORCID: https://orcid.org/0000-0002-2982-2652)
- Rafaela Mallmann Saalfeld (ORCID: https://orcid.org/0009-0008-0157-0300)
- Carolina Real Cappellaro (ORCID: https://orcid.org/0000-0002-4443-4914)
Institutions
- Universidade Federal do Rio Grande do Sul (BR)
- Hospital de Clínicas de Porto Alegre (BR)
Publication Details
- Journal
- Neonatology
- Published
- 2025-12-05
- DOI
- https://doi.org/10.1159/000549577
- Primary Topic
- Cardiovascular Conditions and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00