يعرض 1 - 3 نتائج من 3 نتيجة بحث عن '"Dick T J J Koning"', وقت الاستعلام: 1.28s تنقيح النتائج
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    دورية أكاديمية
    COVID outcome prediction in the emergency department (COPE): using retrospective Dutch hospital data to develop simple and valid models for predicting mortality and need for intensive care unit admission in patients who present at the emergency department with suspected COVID-19

    المؤلفون: Annelies Verbon, David M Kent, David van Klaveren, Rozemarijn L van Bruchem-Visser, Stephanie C E Schuit, Alexandros Rekkas, Rob J C G Verdonschot, Dick T J J Koning, Marlijn J A Kamps, Robert Stassen, Sebastiaan Weijer, Klaas-Sierk Arnold, Benjamin Tomlow, Hilde R H de Geus, Jelle R Miedema, Els van Nood

    المصدر: BMJ Open, Vol 11, Iss 9 (2021)

    مصطلحات موضوعية: Medicine

    وصف الملف: electronic resource

    Relation: https://bmjopen.bmj.com/content/11/9/e051468.full; https://doaj.org/toc/2044-6055

    URL الوصول: https://doaj.org/article/9d70e869cce4427698f00fbaa5ce28fb

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  2. 2
    COVID outcome prediction in the emergency department (COPE)

    المؤلفون: Benjamin Tomlow, Jelle R. Miedema, Els van Nood, Annelies Verbon, Alexandros Rekkas, Marlijn J. A. Kamps, David van Klaveren, Jelmer Alsma, Robert Stassen, David M. Kent, Rozemarijn L van Bruchem-Visser, Stephanie C. E. Schuit, Rob J.C.G. Verdonschot, Hester F. Lingsma, Dick T J J Koning, Tom Dormans, Sebastiaan Weijer, Klaas-Sierk Arnold, Hilde R H de Geus

    المساهمون: Public Health, Medical Informatics, Internal Medicine, Emergency Medicine, Intensive Care, Pulmonary Medicine, Medical Microbiology & Infectious Diseases

    المصدر: BMJ Open
    BMJ Open, 11(9):e051468. BMJ Publishing Group
    BMJ Open, 11(9):051468. BMJ PUBLISHING GROUP
    BMJ Open, Vol 11, Iss 9 (2021)

    مصطلحات موضوعية: medicine.medical_specialty, Logistic regression, law.invention, EXPLANATION, law, Epidemiology, medicine, accident & emergency medicine, Blood test, Humans, Hospital Mortality, Retrospective Studies, RISK, medicine.diagnostic_test, Receiver operating characteristic, business.industry, SARS-CoV-2, Public health, public health, DIAGNOSIS TRIPOD, COVID-19, Retrospective cohort study, General Medicine, Emergency department, INDIVIDUAL PROGNOSIS, Intensive care unit, Hospitals, Intensive Care Units, Emergency medicine, Emergency Medicine, Medicine, epidemiology, business, Emergency Service, Hospital

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::900df6fc81abf9d6d313138628354445
    http://www.scopus.com/inward/record.url?scp=85115323321&partnerID=8YFLogxK

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  3. 3
    COVID Outcome Prediction in the Emergency Department (COPE): Development and validation of a model for predicting death and need for intensive care in COVID-19 patients

    المؤلفون: Stephanie Ce Schuit, Jelle R. Miedema, David van Klaveren, Benjamin Tomlow, Marlijn J. A. Kamps, Els van Nood, Rob Jcg Verdonschot, Sebastiaan Weijer, Alexandros Rekkas, Rozemarijn L. van Bruchem-Visser, Robert Stassen, Jelmer Alsma, Tom Dormans, Annelies Verbon, David M. Kent, Hester F. Lingsma, Dick T J J Koning, Hilde R H de Geus, Klaas-Sierk Arnold

    مصطلحات موضوعية: medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), medicine.diagnostic_test, business.industry, Emergency department, Logistic regression, Missing data, Intensive care unit, law.invention, law, Emergency medicine, medicine, Blood test, In patient, Outcome prediction, business

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::111f1c3fb4ae4542b1d693fc343335b1
    https://doi.org/10.1101/2020.12.30.20249023

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