Pre-assessment of machine learning approaches for patient length of stay prediction

• Main Authors: Mahmud, Farhanahani, Md. Khudzari, Ahmad Zahran, Cheong, Ping Pau, Ramli, Mohd. Faizal, Jaffar, Norfazlina, Gaaffar, Intan Fariza
• Format: Conference or Workshop Item
• Published: 2022
• Subjects: Q Science (General); TP Chemical technology
• Online Access: http://eprints.utm.my/id/eprint/102208/; http://dx.doi.org/10.1007/978-981-16-8903-1_32

Patient length of stay (LOS) in ICU and hospital’s general care unit is one of the important indicators that is widely measured and benchmarked to improve the quality and efficiency of patient care. There are many studies both on statistical testing of the LOS outcome to determine factors associated...