Rank aggregation methods comparison: A case for triage prioritization

Autor:	Omar Ashour, Gül E. Okudan, Erica B. Fields
Rok vydání:	2013
Předmět:	Prioritization Operations research Computer science General Engineering Emergency department computer.software_genre Triage Aggregation methods Computer Science Applications Group decision-making Artificial Intelligence Job performance Expert opinion Data mining computer
Zdroj:	Expert Systems with Applications. 40:1305-1311
ISSN:	0957-4174
DOI:	10.1016/j.eswa.2012.08.060
Popis:	This paper seeks to test and to determine a suitable aggregation method to represent a set of rankings made by individual decision makers (DMs). A case study for triage prioritization is used to test the aggregation methods. The triage is a decision-making process with which patients are prioritized according to their medical condition and chance of survival on arrival at the emergency department (ED). There is a lot of subjective decision-making in the process which leads to discrepancies among nurses. Four rank aggregation methods are applied to the prioritization data and then an expert evaluates the results and judges them on practicality and acceptability. The proposed recommendation for preference aggregation is the method of the estimation of utility intervals. Expert opinion is highly valued in a decision-making environment such as this, where experience and intuition are key to successful job performance and outcomes.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7d1027d2604e2cf8813672f9972664c0 https://doi.org/10.1016/j.eswa.2012.08.060 Zobrazit plný text záznamu Full Text from ScienceDirect