Machine learning for prediction of bronchopulmonary dysplasia-free survival among very preterm infants

• Egile Nagusiak: Rebekah M. Leigh (Egilea), Andrew Pham (Egilea), Srinandini S. Rao (Egilea), Farha M. Vora (Egilea), Gina Hou (Egilea), Chelsea Kent (Egilea), Abigail Rodriguez (Egilea), Arvind Narang (Egilea), John B. C. Tan (Egilea), Fu-Sheng Chou (Egilea)
• Formatua: Liburua
• Argitaratua: BMC, 2022-09-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

Abstract Background Bronchopulmonary dysplasia (BPD) is one of the most common and serious sequelae of prematurity. Prompt diagnosis using prediction tools is crucial for early intervention and prevention of further adverse effects. This study aims to develop a BPD-free survival prediction tool base...