Development of a machine learning model to estimate length of stay in coronary artery bypass grafting

• Asıl Yazarlar: Renato Camargos Couto (Yazar), Tania Pedrosa (Yazar), Luciana Moreira Seara (Yazar), Vitor Seara Couto (Yazar), Carolina Seara Couto (Yazar)
• Materyal Türü: Kitap
• Baskı/Yayın Bilgisi: Universidade de São Paulo, 2024-09-01T00:00:00Z.
• Konular: article
• Online Erişim: Connect to this object online.

ABSTRACT OBJECTIVE: To develop and validate a predictive model utilizing machine-learning techniques for estimating the length of hospital stay among patients who underwent coronary artery bypass grafting. METHODS: Three machine learning models (random forest, extreme gradient boosting and neural ne...