A Bayesian Network Analysis of the Diagnostic Process and its Accuracy to Determine How Clinicians Estimate Cardiac Function in Critically Ill Patients: Prospective Observational Cohort Study

doi:10.2196/15358

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JMIR Medical Informatics

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Published on 30.10.19 in Vol 7, No 4 (2019): Oct-Dec

This paper is in the following e-collection/theme issue:

Works citing "A Bayesian Network Analysis of the Diagnostic Process and its Accuracy to Determine How Clinicians Estimate Cardiac Function in Critically Ill Patients: Prospective Observational Cohort Study"

Thomas Kaufmann, José Castela Forte, Bart Hiemstra, Marco A Wiering, Marco Grzegorczyk, Anne H Epema, Iwan C C van der Horst, SICS Study Group

JMIR Med Inform 2019 (Oct 30); 7(4):e15358

According to Crossref, the following articles are citing this article (DOI 10.2196/15358):

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Kaufmann T, van der Horst IC, Scheeren TW. This is your toolkit in hemodynamic monitoring. Current Opinion in Critical Care 2020;26(3):303
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JMIR Medical Informatics

Citing this Article

Published on 30.10.19 in Vol 7, No 4 (2019): Oct-Dec

This paper is in the following e-collection/theme issue:

Works citing "A Bayesian Network Analysis of the Diagnostic Process and its Accuracy to Determine How Clinicians Estimate Cardiac Function in Critically Ill Patients: Prospective Observational Cohort Study"