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Receiver operating characteristic analysis of machine learn..:

William P. T. M. van Doorn (10004488) ; Patricia M. Stassen (7460576) ; Hella F. Borggreve (10004491)...
https://figshare.com/articles/journal_contribution/Receiver_operating_characteristic_analysis_of_machine_learning_model_risk_scores_and_internal_medicine_physicians_/13608205. , 2021

Link: https://doi.org/10.1371/journal.pone.0245157.s013

RT Journal
T1 <Title>Receiver operating characteristic analysis of machine learning model, risk scores and internal medicine physicians</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_13608205&Exemplar=1&LAN=DE
				
A1 William P. T. M. van Doorn (10004488)
A1 Patricia M. Stassen (7460576)
A1 Hella F. Borggreve (10004491)
A1 Maaike J. Schalkwijk (10004494)
A1 Judith Stoffers (10004497)
A1 Otto Bekers (834788)
A1 Steven J. R. Meex (9108320)
YR 2021
K1 Medicine
K1 Cell Biology
K1 Biotechnology
K1 Developmental Biology
K1 Science Policy
K1 Infectious Diseases
K1 Biological Sciences not elsewhere classified
K1 risk scores
K1 sepsis Introduction Patients
K1 laboratory
K1 risk stratification tool
K1 ED
K1 retrospective cohort study
K1 31- day mortality
K1 area-under-the ROC curve
K1 CI
K1 validation dataset
K1 vs
K1 medicine physicians
K1 model
JF https://figshare.com/articles/journal_contribution/Receiver_operating_characteristic_analysis_of_machine_learning_model_risk_scores_and_internal_medicine_physicians_/13608205
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0245157.s013
DO https://doi.org/10.1371/journal.pone.0245157.s013
SF ELIB - SuUB Bremen

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