PMID- 36135003
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220924
IS  - 2306-5354 (Print)
IS  - 2306-5354 (Electronic)
IS  - 2306-5354 (Linking)
VI  - 9
IP  - 9
DP  - 2022 Sep 8
TI  - MEF: Multidimensional Examination Framework for Prioritization of COVID-19 Severe 
      Patients and Promote Precision Medicine Based on Hybrid Multi-Criteria 
      Decision-Making Approaches.
LID - 10.3390/bioengineering9090457 [doi]
LID - 457
AB  - Effective prioritization plays critical roles in precision medicine. Healthcare 
      decisions are complex, involving trade-offs among numerous frequently 
      contradictory priorities. Considering the numerous difficulties associated with 
      COVID-19, approaches that could triage COVID-19 patients may help in prioritizing 
      treatment and provide precise medicine for those who are at risk of serious 
      disease. Prioritizing a patient with COVID-19 depends on a variety of examination 
      criteria, but due to the large number of these biomarkers, it may be hard for 
      medical practitioners and emergency systems to decide which cases should be given 
      priority for treatment. The aim of this paper is to propose a Multidimensional 
      Examination Framework (MEF) for the prioritization of COVID-19 severe patients on 
      the basis of combined multi-criteria decision-making (MCDM) methods. In contrast 
      to the existing literature, the MEF has not considered only a single dimension of 
      the examination factors; instead, the proposed framework included different 
      multidimensional examination criteria such as demographic, laboratory findings, 
      vital signs, symptoms, and chronic conditions. A real dataset that consists of 
      data from 78 patients with different examination criteria was used as a base in 
      the construction of Multidimensional Evaluation Matrix (MEM). The proposed 
      framework employs the CRITIC (CRiteria Importance Through Intercriteria 
      Correlation) method to identify objective weights and importance for 
      multidimensional examination criteria. Furthermore, the VIKOR (VIekriterijumsko 
      KOmpromisno Rangiranje) method is utilized to prioritize COVID-19 severe 
      patients. The results based on the CRITIC method showed that the most important 
      examination criterion for prioritization is COVID-19 patients with heart disease, 
      followed by cough and nasal congestion symptoms. Moreover, the VIKOR method 
      showed that Patients 8, 3, 9, 59, and 1 are the most urgent cases that required 
      the highest priority among the other 78 patients. Finally, the proposed framework 
      can be used by medical organizations to prioritize the most critical COVID-19 
      patient that has multidimensional examination criteria and to promptly give 
      appropriate care for more precise medicine.
FAU - Abdulkareem, Karrar Hameed
AU  - Abdulkareem KH
AUID- ORCID: 0000-0001-7302-2049
AD  - College of Agriculture, Al-Muthanna University, Samawah 66001, Iraq.
AD  - College of Engineering, University of Warith Al-Anbiyaa, Karbala 56001, Iraq.
FAU - Al-Mhiqani, Mohammed Nasser
AU  - Al-Mhiqani MN
AUID- ORCID: 0000-0002-8802-487X
AD  - Center for Advanced Computing Technology, Faculty of Information and 
      Communication Technology, Universiti Teknikal Malaysia Melaka, Malacca 75300, 
      Malaysia.
FAU - Dinar, Ahmed M
AU  - Dinar AM
AUID- ORCID: 0000-0002-9082-0875
AD  - Computer Engineering Department, University of Technology- Iraq, Baghdad 19006, 
      Iraq.
FAU - Mohammed, Mazin Abed
AU  - Mohammed MA
AUID- ORCID: 0000-0001-9030-8102
AD  - College of Computer Science and Information Technology, University of Anbar, 
      Anbar 31001, Iraq.
FAU - Al-Imari, Mustafa Jawad
AU  - Al-Imari MJ
AD  - Department of Medical Laboratory Techniques, Al-Mustaqbal University College, 
      Hillah 51001, Iraq.
FAU - Al-Waisy, Alaa S
AU  - Al-Waisy AS
AUID- ORCID: 0000-0001-7544-2709
AD  - Computer Technologies Engineering Department, Information Technology Collage, 
      Imam Ja'afar Al-Sadiq University, Baghdad 10064, Iraq.
FAU - Alghawli, Abed Saif
AU  - Alghawli AS
AUID- ORCID: 0000-0002-6586-2141
AD  - Computer Science Department, College of Sciences and Humanities, Prince Sattam 
      Bin Abdulaziz University, Aflaj 16278, Saudi Arabia.
FAU - Al-Qaness, Mohammed A A
AU  - Al-Qaness MAA
AUID- ORCID: 0000-0002-6956-7641
AD  - College of Physics and Electronic Information Engineering, Zhejiang Normal 
      University, Jinhua 321004, China.
AD  - Faculty of Engineering, Sana'a University, Sana'a 12544, Yemen.
LA  - eng
PT  - Journal Article
DEP - 20220908
PL  - Switzerland
TA  - Bioengineering (Basel)
JT  - Bioengineering (Basel, Switzerland)
JID - 101676056
PMC - PMC9495842
OTO - NOTNLM
OT  - COVID-19
OT  - CRITIC
OT  - Multidimensional Examination Framework
OT  - VIKOR
OT  - hybrid multi-criteria decision-making
OT  - precision medicine
OT  - prioritization
COIS- The authors declare no conflict of interest.
EDAT- 2022/09/23 06:00
MHDA- 2022/09/23 06:01
PMCR- 2022/09/08
CRDT- 2022/09/22 08:13
PHST- 2022/08/09 00:00 [received]
PHST- 2022/09/02 00:00 [revised]
PHST- 2022/09/04 00:00 [accepted]
PHST- 2022/09/22 08:13 [entrez]
PHST- 2022/09/23 06:00 [pubmed]
PHST- 2022/09/23 06:01 [medline]
PHST- 2022/09/08 00:00 [pmc-release]
AID - bioengineering9090457 [pii]
AID - bioengineering-09-00457 [pii]
AID - 10.3390/bioengineering9090457 [doi]
PST - epublish
SO  - Bioengineering (Basel). 2022 Sep 8;9(9):457. doi: 10.3390/bioengineering9090457.