Medicine and Dentistry
Crowding
100%
Emergency Department
100%
Cohort Effect
100%
Patient
58%
General Practitioner
25%
Crowding (Area)
16%
COVID-19
8%
Dyspnea
8%
Influenza
8%
Emergency Care
8%
Time Series Analysis
8%
Age
8%
Inpatient
8%
INIS
time-series analysis
100%
emergencies
100%
patients
58%
interventions
25%
cooperatives
25%
length
25%
expansion
16%
levels
8%
closures
8%
breath
8%
implementation
8%
influenza
8%
correlations
8%
peaks
8%
covid-19
8%
modeling
8%
Biochemistry, Genetics and Molecular Biology
Time
100%
Length
75%
Crowding (Area)
50%
Breathing
25%
Age
25%
Keyphrases
General Practitioners Cooperative
50%
Exit Block
50%
ARIMA Modeling
16%
Urgent Patients
16%
Interrupted Time Series Model
16%
ED Overcrowding
16%
Patient Length of Stay
16%
Inpatient Admission
16%
Emergency Department Intervention
16%
Shortness of Breath
16%
Visit Characteristics
16%
Severe Influenza
16%
Psychology
Practitioners
100%
Time Series Analysis
100%
Autoregressive Integrated Moving Average
33%
Nursing and Health Professions
Crowding (Area)
16%
Emergency Care
8%