Ezzeddin Kamil Mohamed Hashim

Development and comparative analysis of predictive length of stay models using machine learning in Malaysian tertiary hospitals

Abstract Hospital length of stay (LOS) is a critical indicator of healthcare efficiency and resource allocation. While predictive modelling has escalated globally, there is a notable sparsity of literature utilising large-scale, real-world data from the Malaysian public health fr...