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

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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title = "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",

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

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}",

year = "2019",

doi = "10.2196/15358",

language = "English",

volume = "7",

pages = "214--224",

journal = "JMIR Medical Informatics",

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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

TY - JOUR

T1 - A Bayesian Network Analysis of the Diagnostic Process and its Accuracy to Determine How Clinicians Estimate Cardiac Function in Critically Ill Patients

T2 - Prospective Observational Cohort Study

AU - Kaufmann, Thomas

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

PY - 2019

Y1 - 2019

KW - cardiac function

KW - physical examination

KW - Bayesian network

KW - critical care

KW - ICU

KW - medical education

KW - educated guess

KW - cognition

KW - clinical decision-support

KW - cardiology

KW - SHOCK

U2 - 10.2196/15358

DO - 10.2196/15358

M3 - Article

VL - 7

SP - 214

EP - 224

JO - JMIR Medical Informatics

JF - JMIR Medical Informatics

SN - 2291-9694

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ER -

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10.2196/15358Licence: CC BY