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HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units
[article]
2020
arXiv
pre-print
Deep learning models have achieved expert-level performance in healthcare with an exclusive focus on training accurate models. However, in many clinical environments such as intensive care unit (ICU), real-time model serving is equally if not more important than accuracy, because in ICU patient care is simultaneously more urgent and more expensive. Clinical decisions and their timeliness, therefore, directly affect both the patient outcome and the cost of care. To make timely decisions, we
arXiv:2008.04063v1
fatcat:lb33es3ogjgrhcbewvscgxvyla