A comparative study of neuro-fuzzy and neural network models in predicting length of stay in university hospital.
Journal:
BMC health services research
PMID:
40148882
Abstract
BACKGROUND: The time a patient spends in the hospital from admission to discharge is known as the length of stay (LOS). Predicting LOS is crucial for enhancing patient care, managing hospital resources, and optimizing the use of patient beds. Therefore, this study aimed to predict the LOS for patients hospitalized in various clinics using different artificial intelligence (AI) models.