Development of a machine learning model to estimate length of stay in coronary artery bypass grafting.
Renato Camargos CoutoTânia Moreira Grillo PedrosaLuciana Moreira SearaVitor Seara CoutoCarolina Seara CoutoPublished in: Revista de saude publica (2024)
The predictive model can be used to generate length of hospital stay indices that could be used as markers of efficiency and identify patients with the potential for prolonged hospitalization, helping the institution in managing beds, scheduling surgeries, and allocating resources.