A population-based observational study of patients with pulmonary disorders in intensive care unit
Hyun Woo Lee, Eunjeong Ji, Soyeon Ahn, Hye-Joo Yang, Seo-Young Yoon, Tae Yeon Park, Yeon Joo Lee, Jinwoo Lee, Sang-Min Lee, Seung-Hye Choi, Young-Jae Cho
Korean J Intern Med. 2020;35(6):1411-1423. Published online 2019 Nov 25 DOI: https://doi.org/10.3904/kjim.2018.449
|
Citations to this article as recorded by
Interpretability-based machine learning for predicting the risk of death from pulmonary inflammation in Chinese intensive care unit patients
Yihai Zhai, Danxiu Lan, Siying Lv, Liqin Mo
Frontiers in Medicine.2024;[Epub] CrossRef Microbial signatures predictive of short-term prognosis in severe pneumonia
Shen-Shen Huang, Jia-Yong Qiu, Shuang-Ping Li, Ya-Qing Ma, Jun He, Li-Na Han, Long-Long Jiao, Chong Xu, Yi-Min Mao, Yong-Mei Zhang
Frontiers in Cellular and Infection Microbiology.2024;[Epub] CrossRef Epidemiological profile and risk factors associated with death in patients receiving invasive mechanical ventilation in an adult intensive care unit from Brazil: a retrospective study
Camila Vantini Capasso Palamim, Matheus Negri Boschiero, Fernando Augusto Lima Marson
Frontiers in Medicine.2023;[Epub] CrossRef Machine learning-based prediction of in-ICU mortality in pneumonia patients
Eun-Tae Jeon, Hyo Jin Lee, Tae Yun Park, Kwang Nam Jin, Borim Ryu, Hyun Woo Lee, Dong Hyun Kim
Scientific Reports.2023;[Epub] CrossRef Development and validation of a patient‐reported outcome measure for patients with chronic respiratory failure: The CRF‐PROM scale
Hangzhi He, Hao Li, Xianhua Zeng, Hui Zhao, Yanbo Zhang
Health Expectations.2021; 24(5): 1842. CrossRef The Impact of Mechanical Ventilation Duration on the Readmission to Intensive Care Unit: A Population-Based Observational Study
Hyun Woo Lee, Young-Jae Cho
Tuberculosis and Respiratory Diseases.2020; 83(4): 303. CrossRef
|