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A computational model based on human performance for fluid management in critical care

Li, A and Lewis, M and Lebiere, C and Sycara, K and Khatib, SS and Tang, Y and Siedsma, M and Morrison, D (2017) A computational model based on human performance for fluid management in critical care. In: UNSPECIFIED.

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Abstract

© 2016 IEEE. Computational simulation is one of the most important ways of reproducing the dynamic responses of a Cyber Physical System using a model of the system. The simulation discovers areas of differential system performance and allows linking such performance back to system characteristics. In the medical domain, patient simulators are used to train physicians in patient management. One critical question is how to verify these systems under realistic human (physician) input. This requires the creation of realistic human models that would be able to capture human cognitive and decision abilities and limitations. Verification of such an overall physician-patient model would result in two advantages: (a) since physicians realistically would not give all possible inputs to the system, verification could be more efficient and (b) the verification may uncover areas of poor human performance. In this paper, we describe our methodology and results in creating a computational model of human fluid management in critical care, based on human experiments.


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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Li, A
Lewis, M
Lebiere, C
Sycara, K
Khatib, SS
Tang, Y
Siedsma, M
Morrison, D
Date: 9 February 2017
Date Type: Publication
Journal or Publication Title: 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016
Event Type: Conference
DOI or Unique Handle: 10.1109/ssci.2016.7849888
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781509042401
Date Deposited: 30 Jun 2017 15:11
Last Modified: 17 Oct 2017 16:55
URI: http://d-scholarship.pitt.edu/id/eprint/31543

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