* Corresponding Author
Hide
Show all
Decision Support System to Prioritize Ventilators for COVID-19 Patients using AHP, Interpolation, and SAW
https://doi.org/10.22146/ijccs.70985 Nikolas Adhi Prasetyo(1*), Retantyo Wardoyo(2)
(1) Bachelor Program of Computer Science, FMIPA UGM, Yogyakarta
(2) Department of Computer Science and Electronics, FMIPA UGM, Yogyakarta
(*) Corresponding Author
Abstract
Ventilator shortages is a common problem faced by hospitals during the COVID-19 pandemic era. Healthcare workers are forced to make choices because of how big the difference between resources and lives needing it. This issue rarely comes, because normally every patient has the same rights to receive treatment and resources, but it becomes a clear problem when there are barely enough resources. Therefore, a prioritization mechanism that can objectively decide the allocation must be made to achieve the best outcome.
A decision support system is a system that can support humans using data as decision makers to help them decide semi-structured/unstructured problems. The goal of this research is to create a DSS to prioritize patients who need a ventilator by incorporating two different methods, which are AHP, Interpolation, and SAW. It is hoped that the result of the research can be used to rank patients based on predetermined criterias and policy.
Keywords
Full Text:
PDFReferences
Wu, Y. C., Chen, C. S., & Chan, Y. J., “The outbreak of COVID-19: An overview,” Journal of the Chinese Medical Association (Vol. 83, Issue 3, pp. 217–220), March 2020 [Online]. Available: https://journals.lww.com/jcma/Fulltext/2020/03000/The_outbreak_of_COVID_19__An_overview.3.aspx.
Cardona, M., Dobler, C. C., Koreshe, E., Heyland, D. K., Nguyen, R. H., Sim, J. P. Y., Clark, J., & Psirides, A., “A catalogue of tools and variables from crisis and routine care to support decision-making about allocation of intensive care beds and ventilator treatment during pandemics: Scoping review,” Journal of Critical Care, 66, 33–43, 2021 [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0883944121001726?via%3Dihub.
Piscitello, G. M., Kapania, E. M., Miller, W. D., Rojas, J. C., Siegler, M., & Parker, W. F., “Variation in Ventilator Allocation Guidelines By US State During The Coronavirus Disease 2019 Pandemic: A Systematic Review,” JAMA Network Open (Vol. 3, Issue 6). American Medical Association, June 2020 [Online]. Available: https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2767360.
Mukharir, M., Wardoyo, R., “Decision Support System for Laptop Selection Using AHP Method and Profile Matching,” IJCCS (Indonesian Journal of Computing and Cybernetics System) Vol.15 No. 3., July. 2021 [Online]. Available: https://jurnal.ugm.ac.id/ijccs/article/view/67811/31844
Rahim, A., Kurniawan, M., & Kusrini., “Machine Learning Based Decision Support System for Determining the Priority of Covid–19 Patients,” 3rd International Conference on Information and Communications Technology (ICOIACT) pp. 319-324, Jan. 2021 [Online]. Available: https://ieeexplore.ieee.org/document/9332000.
Lambden, S., Laterre, P. F., Levy, M. M., & Francois, B., “The SOFA score - Development, utility and challenges of accurate assessment in clinical trials,” Critical Care (Vol. 23, Issue 1), Nov. 2019 [Online]. Available: https://ccforum.biomedcentral.com/articles/10.1186/s13054-019-2663-7.
Bels, J. L. M., van Kuijk, S. M. J., Ghossein-Doha, C., E., Tijssen, F. H., van Gassel, R. J. J., Tas, J., ... van Bussel, B. C. T., “Decreased serial scores of severe organ failure assessments are associated with survival in mechanically ventilated patients; the prospective Maastricht Intensive Care COVID cohort,” Journal of Critical Care 62 (2021) 38–45, April. 2021 [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0883944120307619?via%3Dihub
Saaty, T. L., “Decision making with the Analytic Hierarchy Process,” Scientia Iranica, 9(3), 215–229., 2008 [Online]. Available: http://www.inderscience.com/offer.php?id=17590.
Atkinson, K., Han, W., “Elementary Numerical Analysis,” John Wiley & Sons, 2004 [Online].
Sudipa, I. G. I., Arya, I. K., Wiguna, G., Tri, I. N., & Putra, A.., “Implementasi Metode Analytical Hierarchy Process Dan Interpolasi Linier Dalam Penentuan Lokasi Wisata Di Kabupaten Karangasem,” Jurnal Sains Komputer & Informatika (J-SAKTI) (Vol. 5, No.2), 2021 [Online]. Available: http://tunasbangsa.ac.id/ejurnal/index.php/jsakti/article/view/383/362
Timuda, C. E., Setyawan, U. A., Djajalaksana., “Respiratory Parameter Has a Great Impact in Determining Sepsis Condition in COVID-19 Patients at Saiful Anwar Hospital Malang: Case Report.,” Medica Hospitalia, Journal of Clinical Medicine, (vol 7 (1A): 176–18), 2020 [Online]. Available: http://medicahospitalia.rskariadi.co.id/medicahospitalia/index.php/mh/article/view/466
DOI: https://doi.org/10.22146/ijccs.70985
Article Metrics
Abstract views : 2262
| 
views : 1947
Refbacks
- There are currently no refbacks.
Copyright (c) 2022 IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
View My Stats1