Conventional risk prediction models fail to accurately predict mortality risk among patients with coronavirus disease 2019 in intensive care units: a difficult time to assess clinical severity and quality of care

MLA

Hideki Endo, et al. “Conventional Risk Prediction Models Fail to Accurately Predict Mortality Risk among Patients with Coronavirus Disease 2019 in Intensive Care Units: A Difficult Time to Assess Clinical Severity and Quality of Care.” Journal of Intensive Care, vol. 9, no. 1, June 2021, pp. 1–4. EBSCOhost, https://doi.org/10.1186/s40560-021-00557-5.

APA

Hideki Endo, Hiroyuki Ohbe, Junji Kumasawa, Shigehiko Uchino, Satoru Hashimoto, Yoshitaka Aoki, Takehiko Asaga, Eiji Hashiba, Junji Hatakeyama, Katsura Hayakawa, Nao Ichihara, Hiromasa Irie, Tatsuya Kawasaki, Hiroshi Kurosawa, Tomoyuki Nakamura, Hiroshi Okamoto, Hidenobu Shigemitsu, Shunsuke Takaki, Kohei Takimoto, … Hiroaki Miyata. (2021). Conventional risk prediction models fail to accurately predict mortality risk among patients with coronavirus disease 2019 in intensive care units: a difficult time to assess clinical severity and quality of care. Journal of Intensive Care, 9(1), 1–4. https://doi.org/10.1186/s40560-021-00557-5

Chicago

Hideki Endo, Hiroyuki Ohbe, Junji Kumasawa, Shigehiko Uchino, Satoru Hashimoto, Yoshitaka Aoki, Takehiko Asaga, et al. 2021. “Conventional Risk Prediction Models Fail to Accurately Predict Mortality Risk among Patients with Coronavirus Disease 2019 in Intensive Care Units: A Difficult Time to Assess Clinical Severity and Quality of Care.” Journal of Intensive Care 9 (1): 1–4. doi:10.1186/s40560-021-00557-5.