An algorithm to identify less invasive surfactant administration using a real-world database of preterm infants

database[Title] 2026-04-20

Summary:

CONCLUSIONS: We used a machine-learning approach to develop an algorithm that performed well in identifying surfactant administered via LISA among preterm infants using administrative data. The algorithm demonstrated strong performance and can support future research to evaluate the utilization and outcomes of LISA using RWD.

Link:

https://pubmed.ncbi.nlm.nih.gov/41984913/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=12QQbiNmM99eUQGIX1JjHIKcROC1Vzv4sOS-2S_LNI19uG_Yrk&fc=20220129225649&ff=20260420024932&v=2.19.0.post6+133c1fe

From feeds:

📚BioDBS Bibliography » database[Title]

Tags:

Authors:

Xuezheng Sun, Annie N Simpson, Aditi Lahiri, Sanjida Mowla, Dana Edelman, Shelby Corman, Daniel Fuentes, Dalibor Kurepa, Michael W Kuzniewicz

Date tagged:

04/20/2026, 02:49

Date published:

04/15/2026, 06:00