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; Jose Castela Forte; Bart Hiemstra; Marco A. Wiering; Marco Grzegorczyk; Anne H. Epema; Iwan C. C. van der Horst; SICS Study Group

doi:10.2196/15358

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^*, Jose Castela Forte, Bart Hiemstra, Marco A. Wiering, Marco Grzegorczyk, Anne H. Epema, Iwan C. C. van der Horst, SICS Study Group

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Article number	15358
Pages (from-to)	214-224
Number of pages	11
Journal	JMIR Medical Informatics
Volume	7
Issue number	4
DOIs	https://doi.org/10.2196/15358
Publication status	Published - 2019

Keywords

cardiac function
physical examination
Bayesian network
critical care
ICU
medical education
educated guess
cognition
clinical decision-support
cardiology
SHOCK

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10.2196/15358Licence: CC BY

Cite this

Kaufmann, T., Forte, J. C., Hiemstra, B., Wiering, M. A., Grzegorczyk, M., Epema, A. H., van der Horst, I. C. C., & SICS Study Group (2019). 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. JMIR Medical Informatics, 7(4), 214-224. [15358]. https://doi.org/10.2196/15358

Kaufmann, Thomas ; Forte, Jose Castela ; Hiemstra, Bart ; Wiering, Marco A. ; Grzegorczyk, Marco ; Epema, Anne H. ; van der Horst, Iwan C. C. ; SICS Study Group. / 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. In: JMIR Medical Informatics. 2019 ; Vol. 7, No. 4. pp. 214-224.

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author = "Thomas Kaufmann and Forte, {Jose Castela} and Bart Hiemstra and Wiering, {Marco A.} and Marco Grzegorczyk and Epema, {Anne H.} and {van der Horst}, {Iwan C. C.} and {SICS Study Group}",

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Kaufmann, T, Forte, JC, Hiemstra, B, Wiering, MA, Grzegorczyk, M, Epema, AH, van der Horst, ICC & SICS Study Group 2019, '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', JMIR Medical Informatics, vol. 7, no. 4, 15358, pp. 214-224. https://doi.org/10.2196/15358

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

In: JMIR Medical Informatics, Vol. 7, No. 4, 15358, 2019, p. 214-224.

Research output: Contribution to journal › Article › Academic › peer-review

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AU - Forte, Jose Castela

AU - Hiemstra, Bart

AU - Wiering, Marco A.

AU - Grzegorczyk, Marco

AU - Epema, Anne H.

AU - van der Horst, Iwan C. C.

AU - SICS Study Group

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KW - physical examination

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KW - medical education

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KW - cardiology

KW - SHOCK

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