Deep-learning model for screening sepsis using electrocardiography
심전도를 이용한 패혈증 스크리닝을 위한 딥러닝 모델
Original Research
Published on
Journal: Scandinavian Journal of Trauma, Resuscitation and [Category] MERS, SARS, 치료기술, 치료제,
Journal: Scandinavian Journal of Trauma, Resuscitation and [Category] MERS, SARS, 치료기술, 치료제,
[키워드] 95% CI
95% confidence interval
acute respiratory syndrome
acute respiratory syndrome coronavirus
acute respiratory syndrome coronavirus 2
Analysis
applicability
artificial intelligence
AUC
characteristic
conducted
coronavirus
dataset
deep learning
Disease progression
ECG
ECGs
Electrocardiography
external validation
healthcare
hospital
Hospital mortality
hospitals
in-hospital mortality
Infection
infections
Infectious disease
internal and external
life-threatening
management
medical emergency
Mortality
Occurrence
organ dysfunction
Patient
patients
QRS complex
receiver
receiver operating characteristic
respiratory
Result
retrospective cohort study
screened
sensitivity
Sepsis
Septic shock
severe acute respiratory syndrome Coronavirus
Shock, Septic
significant difference
subgroup analysis
[DOI] 10.1186/s13049-021-00953-8 PMC 바로가기 [Article Type] Original Research
[DOI] 10.1186/s13049-021-00953-8 PMC 바로가기 [Article Type] Original Research