J Med Syst - VIKOR method with enhanced accuracy for multiple criteria decision making in healthcare management.

Tópicos

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{ data(1737) use(1416) pattern(1282) }
{ method(984) reconstruct(947) comput(926) }
{ measur(2081) correl(1212) valu(896) }
{ take(945) account(800) differ(722) }
{ data(3963) clinic(1234) research(1004) }
{ studi(1119) effect(1106) posit(819) }
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{ use(976) code(926) identifi(902) }
{ method(2212) result(1239) propos(1039) }
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{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
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{ first(2504) two(1366) second(1323) }
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{ health(1844) social(1437) communiti(874) }
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Resumo

Vi?ekriterijumsko kompromisno rangiranje (VIKOR) method is one of the commonly used multi criteria decision making (MCDM) methods for improving the quality of decision making. VIKOR has an advantage in providing a ranking procedure for positive attributes and negative attributes when it is used and examined in decision support. However, we noticed that this method may failed to support an objective result in medical field because most medical data have normal reference ranges (e.g., for normally distributed data: NRR [? ? 1.96s], this limitation shows a negative effect on the acceptance of it as an effective decision supporting method in medical decision making. This paper proposes an improved VIKOR method with enhanced accuracy (ea-VIKOR) to make it suitable for such data in medical field by introducing a new data normalization method taking the original distance to the normal reference range (ODNRR) into account. In addition, an experimental example was presented to demonstrate efficiency and feasibility of the ea-VIKOR method, the results demonstrate the ability of ea-VIKOR to deal with moderate data and support the decision making in healthcare care management. For this reason, the ea-VIKOR should be considered for use as a decision support tool for future study.

Resumo Limpo

viekriterijumsko kompromisno rangiranj vikor method one common use multi criteria decis make mcdm method improv qualiti decis make vikor advantag provid rank procedur posit attribut negat attribut use examin decis support howev notic method may fail support object result medic field medic data normal refer rang eg normal distribut data nrr s limit show negat effect accept effect decis support method medic decis make paper propos improv vikor method enhanc accuraci eavikor make suitabl data medic field introduc new data normal method take origin distanc normal refer rang odnrr account addit experiment exampl present demonstr effici feasibl eavikor method result demonstr abil eavikor deal moder data support decis make healthcar care manag reason eavikor consid use decis support tool futur studi

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