Machine-Learning vs. Expert-Opinion Driven Logistic Regression Modelling for Predicting 30-Day Unplanned Rehospitalisation in Preterm Babies: A Prospective, Population-Based Study (EPIPAGE 2)

Introduction: Preterm babies are a vulnerable population that experience significant short and long-term morbidity. Rehospitalisations constitute an important, potentially modifiable adverse event in this population. Improving the ability of clinicians to identify those patients at the greatest risk...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Robert A. Reed, Andrei S. Morgan, Jennifer Zeitlin, Pierre-Henri Jarreau, Héloïse Torchin, Véronique Pierrat, Pierre-Yves Ancel, Babak Khoshnood
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2021-02-01
Edice:	Frontiers in Pediatrics
Témata:	neonatology rehospitalisation prediction machine-learning epidemiology
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fped.2020.585868/full
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!