Web: http://arxiv.org/abs/2209.07805

Sept. 19, 2022, 1:11 a.m. | Junyi Gao, Yinghao Zhu, Wenqing Wang, Yasha Wang, Wen Tang, Liantao Ma

cs.LG updates on arXiv.org arxiv.org

The COVID-19 pandemic has posed a heavy burden to the healthcare system
worldwide and caused huge social disruption and economic loss. Many deep
learning models have been proposed to conduct clinical predictive tasks such as
mortality prediction for COVID-19 patients in intensive care units using
Electronic Health Record (EHR) data. Despite their initial success in certain
clinical applications, there is currently a lack of benchmarking results to
achieve a fair comparison so that we can select the optimal model for …

arxiv benchmark covid covid-19 electronic health modeling predictive predictive modeling records

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