PMID- 36415285
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230302
IS  - 0941-0643 (Print)
IS  - 1433-3058 (Electronic)
IS  - 0941-0643 (Linking)
VI  - 35
IP  - 8
DP  - 2023
TI  - Hospital selection framework for remote MCD patients based on fuzzy q-rung 
      orthopair environment.
PG  - 6185-6196
LID - 10.1007/s00521-022-07998-5 [doi]
AB  - This research proposes a novel mobile health-based hospital selection framework 
      for remote patients with multi-chronic diseases based on wearable body medical 
      sensors that use the Internet of Things. The proposed framework uses two powerful 
      multi-criteria decision-making (MCDM) methods, namely fuzzy-weighted 
      zero-inconsistency and fuzzy decision by opinion score method for criteria 
      weighting and hospital ranking. The development of both methods is based on a 
      Q-rung orthopair fuzzy environment to address the uncertainty issues associated 
      with the case study in this research. The other MCDM issues of multiple criteria, 
      various levels of significance and data variation are also addressed. The 
      proposed framework comprises two main phases, namely identification and 
      development. The first phase discusses the telemedicine architecture selected, 
      patient dataset used and decision matrix integrated. The development phase 
      discusses criteria weighting by q-ROFWZIC and hospital ranking by q-ROFDOSM and 
      their sub-associated processes. Weighting results by q-ROFWZIC indicate that the 
      time of arrival criterion is the most significant across all experimental 
      scenarios with (0.1837, 0.183, 0.230, 0.276, 0.335) for (q = 1, 3, 5, 7, 10), 
      respectively. Ranking results indicate that Hospital (H-4) is the best-ranked 
      hospital in all experimental scenarios. Both methods were evaluated based on 
      systematic ranking and sensitivity analysis, thereby confirming the validity of 
      the proposed framework.
CI  - (c) The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of 
      Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other 
      partner) holds exclusive rights to this article under a publishing agreement with 
      the author(s) or other rightsholder(s); author self-archiving of the accepted 
      manuscript version of this article is solely governed by the terms of such 
      publishing agreement and applicable law.
FAU - Alamoodi, A H
AU  - Alamoodi AH
AD  - Department of Computing, Faculty of Arts, Computing and Creative Industry, 
      Universiti Pendidikan Sultan Idris, 35900 Tanjung Malim, Malaysia. GRID: 
      grid.444506.7. ISNI: 0000 0000 9272 6490
FAU - Albahri, O S
AU  - Albahri OS
AD  - Computer Techniques Engineering Department, Mazaya University College, Nassiriya, 
      Thi-Qar Iraq.
FAU - Zaidan, A A
AU  - Zaidan AA
AD  - Faculty of Engineering & IT, The British University in Dubai, Dubai, United Arab 
      Emirates. GRID: grid.444529.a. ISNI: 0000 0004 1762 9534
FAU - Alsattar, H A
AU  - Alsattar HA
AD  - Department of Business Administration, College of Administrative Science, The 
      University of Mashreq, 10021 Baghdad, Iraq.
FAU - Zaidan, B B
AU  - Zaidan BB
AD  - Future Technology Research Center, National Yunlin University of Science and 
      Technology, 123 University Road, Section 3, Douliou, Yunlin, 64002 Taiwan. GRID: 
      grid.412127.3. ISNI: 0000 0004 0532 0820
FAU - Albahri, A S
AU  - Albahri AS
AD  - Iraqi Commission for Computers and Informatics (ICCI), Baghdad, Iraq.
LA  - eng
PT  - Journal Article
DEP - 20221117
PL  - England
TA  - Neural Comput Appl
JT  - Neural computing & applications
JID - 9313239
PMC - PMC9672551
OTO - NOTNLM
OT  - Hospital selection
OT  - Internet of things
OT  - Mobile health
OT  - Multi-criteria decision-making
OT  - Remote multi-chronic disease patients
OT  - Wearable body medical sensors
COIS- Conflict of interestThe authors declare no conflict of interest.
EDAT- 2022/11/24 06:00
MHDA- 2022/11/24 06:01
PMCR- 2022/11/18
CRDT- 2022/11/23 02:04
PHST- 2022/02/10 00:00 [received]
PHST- 2022/10/25 00:00 [accepted]
PHST- 2022/11/24 06:00 [pubmed]
PHST- 2022/11/24 06:01 [medline]
PHST- 2022/11/23 02:04 [entrez]
PHST- 2022/11/18 00:00 [pmc-release]
AID - 7998 [pii]
AID - 10.1007/s00521-022-07998-5 [doi]
PST - ppublish
SO  - Neural Comput Appl. 2023;35(8):6185-6196. doi: 10.1007/s00521-022-07998-5. Epub 
      2022 Nov 17.