المؤلفون: Siavash, Bolourani, Max, Brenner, Ping, Wang, Thomas, McGinn, Jamie S, Hirsch, Douglas, Barnaby, Theodoros P, Zanos, Viktor, Tóth

المصدر: Journal of Medical Internet Research, Vol 23, Iss 2, p e24246 (2021)
Journal of Medical Internet Research

مصطلحات موضوعية: Male, computer.software_genre, Logistic regression, Machine Learning, Patient Admission, 0302 clinical medicine, Acute care, Medicine, 030212 general & internal medicine, validation, lcsh:Public aspects of medicine, Middle Aged, artificial intelligence, Early warning score, Hospitals, Emergency Severity Index, Hospitalization, lcsh:R858-859.7, Female, Emergency Service, Hospital, Respiratory Insufficiency, severe acute respiratory syndrome coronavirus 2, medicine.medical_specialty, Health Informatics, lcsh:Computer applications to medicine. Medical informatics, Machine learning, 03 medical and health sciences, Clinical Decision Rules, Intubation, Intratracheal, Humans, development, Aged, Retrospective Studies, Original Paper, model, Receiver operating characteristic, SARS-CoV-2, business.industry, pandemic, COVID-19, modeling, lcsh:RA1-1270, 030208 emergency & critical care medicine, Emergency department, Respiration, Artificial, Triage, Logistic Models, ROC Curve, Respiratory failure, Early Warning Score, Artificial intelligence, business, prognostic, computer

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e45a21f899e9dc3b0f6b610a04111d0
https://doi.org/10.2196/24246