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

• Main Authors: Renato Camargos Couto (Author), Tania Pedrosa (Author), Luciana Moreira Seara (Author), Vitor Seara Couto (Author), Carolina Seara Couto (Author)
• Format: Book
• Published: Universidade de São Paulo, 2024-09-01T00:00:00Z.
• Subjects: article
• Online Access: 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...