A Novel Technique for Identifying Patients with ICU Needs Using Hemodynamic Features
Joint Authors
Jalali, A.
Ghaffari, Ali
Nataraj, C.
Ghorbanian, P.
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-02-28
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Identification of patients requiring intensive care is a critical issue in clinical treatment.
The objective of this study is to develop a novel methodology using hemodynamic features for distinguishing such patients requiring intensive care from a group of healthy subjects.
In this study, based on the hemodynamic features, subjects are divided into three groups: healthy, risky and patient.
For each of the healthy and patient subjects, the evaluated features are based on the analysis of existing differences between hemodynamic variables: Blood Pressure and Heart Rate.
Further, four criteria from the hemodynamic variables are introduced: circle criterion, estimation error criterion, Poincare plot deviation, and autonomic response delay criterion.
For each of these criteria, three fuzzy membership functions are defined to distinguish patients from healthy subjects.
Furthermore, based on the evaluated criteria, a scoring method is developed.
In this scoring method membership degree of each subject is evaluated for the three classifying groups.
Then, for each subject, the cumulative sum of membership degree of all four criteria is calculated.
Finally, a given subject is classified with the group which has the largest cumulative sum.
In summary, the scoring method results in 86% sensitivity, 94.8% positive predictive accuracy and 82.2% total accuracy.
American Psychological Association (APA)
Jalali, A.& Ghorbanian, P.& Ghaffari, Ali& Nataraj, C.. 2012. A Novel Technique for Identifying Patients with ICU Needs Using Hemodynamic Features. Advances in Fuzzy Systems،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-491337
Modern Language Association (MLA)
Jalali, A.…[et al.]. A Novel Technique for Identifying Patients with ICU Needs Using Hemodynamic Features. Advances in Fuzzy Systems No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-491337
American Medical Association (AMA)
Jalali, A.& Ghorbanian, P.& Ghaffari, Ali& Nataraj, C.. A Novel Technique for Identifying Patients with ICU Needs Using Hemodynamic Features. Advances in Fuzzy Systems. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-491337
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-491337