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Fault diagnostic of variance shifts in clinical monitoring using an Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA)

Version 2 2024-06-04, 04:37
Version 1 2019-03-28, 09:01
conference contribution
posted on 2024-06-04, 04:37 authored by NGT Gunaratne, M Abdollahian, Shamsul HudaShamsul Huda
© 2018, Springer International Publishing AG, part of Springer Nature. Condition of a patient in an intensive care unit is assessed by monitoring multiple correlated variables with individual observations. Individual monitoring of variables leads to misdiagnosis. Therefore, variability of the correlated variables needs to be monitored simultaneously by deploying a multivariate control chart. Once the shift from the accepted range is detected, it is vital to identify the variables that are responsible for the variance shift detected by the chart. This will aid the medical practitioners to take the appropriate medical intervention to adjust the condition of the patient. In this paper, Multivariate Exponentially Weighted Moving Variance chart has been used as the variance shift identifier. Once the shift is detected, authors for the first time have used ANNIGMA to identify the variables responsible for variance shifts in the condition of the patient and rank the responsible variables in terms of the percentage of their contribution to the variance shift. The performance of the proposed ANNIGMA has been measured by computing average classification accuracy. A case study based on real data collected from ICU unit shows that ANNIGMA not only improve the diagnosis but also speed up the variable identification for the purpose of appropriate medical diagnosis.

History

Volume

738

Pagination

295-300

Location

Las Vegas, Nevada

Start date

2018-04-16

End date

2018-04-18

ISSN

2194-5357

ISBN-13

9783319770277

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2018, Springer International Publishing AG

Editor/Contributor(s)

Latifi S

Title of proceedings

ITNG 2018 : Proceedings of the International Conference on Information Technology - New Generations

Event

Information Technology : New Generations. International Conference ( 15th : 2018 : Las Vegas, Nevada)

Publisher

Springer

Place of publication

Cham, Switzerland

Series

Advances in Intelligent Systems and Computing

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