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Puntaje predictivo de emergencias médicas en un servicio médico quirúrgico, usando variables clínicas y los diagnósticos de ingreso
Translated title of the contribution
:
A score to predict medical emergencies in hospitalized patients
Claudia Cofré
, Gabriel Cavada
, César Maquilón
, Paula Daza
*
, Ángel Vargas
, Antonio Vukusich
*
Corresponding author for this work
Research output
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Article
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peer-review
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Keyphrases
Medical Alert Systems
100%
Medical Emergency
100%
Hospitalized Patients
100%
Hospital Stay
40%
Negative Predictive Value
20%
Metabolic Alterations
20%
Clinical Characteristics
20%
Positive Likelihood Ratio
20%
Medical Surgery
20%
Neurological Alterations
20%
Surgical Services
20%
Demographic Characteristics
20%
Patient Falls
20%
Patient Characteristics
20%
Hemodynamic Alteration
20%
Clinical Decompensation
20%
Predictive Score
20%
Private Clinic
20%
International Classification of Diseases
20%
Nursing and Health Professions
Sensitivity and Specificity
100%
Hospitalization
100%
International Classification of Diseases
50%
Predictive Value
50%
Hospital
50%
Private Hospital
50%
Surgery
50%
Medicine and Dentistry
Sensitivity and Specificity
100%
Surgery
50%
Hemodynamic
50%
International Classification of Diseases
50%
Demography
50%
Nurse
50%