Complexity measure based on sensitivity analysis applied to an intensive care unit system
Abstract This work proposes a system complexity metric and its application to Intensive Care Unit (ICU) system. The methodology for applying said complexity metric comprises: (i) parameters sensitivity indices calculation, (ii) mapping connections dynamics between system components, and (iii) system...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-09-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-40149-x |
| _version_ | 1797559793392549888 |
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| author | Joao R. B. Paiva Viviane M. G. Pacheco Poliana S. Barbosa Fabiana R. Almeida Gabriel A. Wainer Flavio A. Gomes Antonio P. Coimbra Wesley P. Calixto |
| author_facet | Joao R. B. Paiva Viviane M. G. Pacheco Poliana S. Barbosa Fabiana R. Almeida Gabriel A. Wainer Flavio A. Gomes Antonio P. Coimbra Wesley P. Calixto |
| author_sort | Joao R. B. Paiva |
| collection | DOAJ |
| description | Abstract This work proposes a system complexity metric and its application to Intensive Care Unit (ICU) system. The methodology for applying said complexity metric comprises: (i) parameters sensitivity indices calculation, (ii) mapping connections dynamics between system components, and (iii) system’s complexity calculation. After simulating the ICU computer model and using the proposed methodology, we obtained results regarding: number of admissions, number of patients in the queue, length of stay, beds in use, ICU performance, and system complexity values (in regular or overloaded operation). As the number of patients in the queue increased, the ICU system complexity also increased, indicating a need for policies to promote system robustness. |
| first_indexed | 2024-03-10T17:50:17Z |
| format | Article |
| id | doaj.art-d44671490b3f4272b3b2a3f1e448553a |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-10T17:50:17Z |
| publishDate | 2023-09-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-d44671490b3f4272b3b2a3f1e448553a2023-11-20T09:23:58ZengNature PortfolioScientific Reports2045-23222023-09-0113111310.1038/s41598-023-40149-xComplexity measure based on sensitivity analysis applied to an intensive care unit systemJoao R. B. Paiva0Viviane M. G. Pacheco1Poliana S. Barbosa2Fabiana R. Almeida3Gabriel A. Wainer4Flavio A. Gomes5Antonio P. Coimbra6Wesley P. Calixto7School of Electrical, Mechanical and Computer Engineering (EMC), Federal University of Goias (UFG)School of Electrical, Mechanical and Computer Engineering (EMC), Federal University of Goias (UFG)Studies and Researches in Science and Technology Group (GCITE), Federal Institute of Goias (IFG)Studies and Researches in Science and Technology Group (GCITE), Federal Institute of Goias (IFG)Visualization and Simulation Centre (VSIM), Carleton University (CU)School of Electrical, Mechanical and Computer Engineering (EMC), Federal University of Goias (UFG)Systems and Robotics Institute (ISR), Coimbra University (UC)School of Electrical, Mechanical and Computer Engineering (EMC), Federal University of Goias (UFG)Abstract This work proposes a system complexity metric and its application to Intensive Care Unit (ICU) system. The methodology for applying said complexity metric comprises: (i) parameters sensitivity indices calculation, (ii) mapping connections dynamics between system components, and (iii) system’s complexity calculation. After simulating the ICU computer model and using the proposed methodology, we obtained results regarding: number of admissions, number of patients in the queue, length of stay, beds in use, ICU performance, and system complexity values (in regular or overloaded operation). As the number of patients in the queue increased, the ICU system complexity also increased, indicating a need for policies to promote system robustness.https://doi.org/10.1038/s41598-023-40149-x |
| spellingShingle | Joao R. B. Paiva Viviane M. G. Pacheco Poliana S. Barbosa Fabiana R. Almeida Gabriel A. Wainer Flavio A. Gomes Antonio P. Coimbra Wesley P. Calixto Complexity measure based on sensitivity analysis applied to an intensive care unit system Scientific Reports |
| title | Complexity measure based on sensitivity analysis applied to an intensive care unit system |
| title_full | Complexity measure based on sensitivity analysis applied to an intensive care unit system |
| title_fullStr | Complexity measure based on sensitivity analysis applied to an intensive care unit system |
| title_full_unstemmed | Complexity measure based on sensitivity analysis applied to an intensive care unit system |
| title_short | Complexity measure based on sensitivity analysis applied to an intensive care unit system |
| title_sort | complexity measure based on sensitivity analysis applied to an intensive care unit system |
| url | https://doi.org/10.1038/s41598-023-40149-x |
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