An incremental EM-based learning approach for on-line prediction of hospital resource utilization

@article{Ng2006AnIE,
  title={An incremental EM-based learning approach for on-line prediction of hospital resource utilization},
  author={Shu-Kay Ng and Geoffrey J. McLachlan and Andy H. Lee},
  journal={Artificial intelligence in medicine},
  year={2006},
  volume={36 3},
  pages={257-67}
}
OBJECTIVE Inpatient length of stay (LOS) is an important measure of hospital activity, health care resource consumption, and patient acuity. This research work aims at developing an incremental expectation maximization (EM) based learning approach on mixture of experts (ME) system for on-line prediction of LOS. The use of a batch-mode learning process in most existing artificial neural networks to predict LOS is unrealistic, as the data become available over time and their pattern change… CONTINUE READING