Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Chien-Chin Hsu"'
Autor:
Jhi-Joung Wang, Chien-Chin Hsu, Tzu-Lan Liu, You-Ming Chen, Yu-Shan Ma, Shu-Lien Hsu, Hung-Jung Lin, Chia-Jung Chen, Chien-Cheng Huang, Chung-Feng Liu, Yuan Kao, Yu-Ting Shen
Publikováno v:
Academic Emergency Medicine. 28:1277-1285
Background Artificial intelligence of things (AIoT) may be a solution for predicting adverse outcomes in emergency department (ED) patients with pneumonia; however, this issue remains unclear. Therefore, we conducted this study to clarify it. Methods
Autor:
Chien-Chin Hsu, Jui Yuan Chung, Jiann-Hwa Chen, How Ran Guo, Hung-Jung Lin, Wei Lung Chen, Chien-Cheng Huang
Publikováno v:
The American Journal of Emergency Medicine. 37:391-394
Background The shock index is a rapid and simple tool used to predict mortality in patients with acute illnesses including sepsis, multiple trauma, and postpartum hemorrhage. However, its ability to predict mortality in geriatric patients with influe
Autor:
Hung Jung Lin, How Ran Guo, Shih-Bin Su, Kao Chang Lin, Jui Chi Lee, Chien-Chin Hsu, Chien-Cheng Huang
Publikováno v:
Epidemiology (Cambridge, Mass.). 30
Background Carbon monoxide poisoning (COP) accounts for a large number of emergency department visits worldwide and is fatal in many cases. In surviving patients, neurological sequelae (NS) attributable to cerebral hypoxia are the most devastating ou
Autor:
Chien-Chin Hsu, Hung-Jung Lin, Chien-Cheng Huang, Jiann-Hwa Chen, Wei Lung Chen, How Ran Guo, Jui Yuan Chung
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-8 (2018)
Scientific Reports
Scientific Reports
Although influenza may cause death in the geriatric population, the best method for predicting mortality in this population is still unclear. We retrospectively recruited older people (≥65 yr) with influenza visiting the emergency department (ED) o