A Proposed Artificial Intelligence Algorithm for Assessing of Risk Priority for Medical Equipment in Iraqi Hospital

This paper presents a robust algorithm for the assessment of risk priority for medical equipment based on the calculation of static and dynamic risk factors and Kohnen Self Organization Maps (SOM). Four risk parameters have been calculated for 345 medical devices in two general hospitals in Baghdad....

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Autores principales:	Nebras H. Ghaeb, Shetha K. Abid, Ali Hussian Ali Al Timemy
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2009
Materias:	Risk factors Neural Networks SOM and Risk Priority Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/b7e5d8f44e794788b71815cb170f0a26
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spelling	oai:doaj.org-article:b7e5d8f44e794788b71815cb170f0a262021-12-02T07:52:12ZA Proposed Artificial Intelligence Algorithm for Assessing of Risk Priority for Medical Equipment in Iraqi Hospital1818-1171https://doaj.org/article/b7e5d8f44e794788b71815cb170f0a262009-01-01T00:00:00Zhttp://www.iasj.net/iasj?func=fulltext&aId=2268https://doaj.org/toc/1818-1171This paper presents a robust algorithm for the assessment of risk priority for medical equipment based on the calculation of static and dynamic risk factors and Kohnen Self Organization Maps (SOM). Four risk parameters have been calculated for 345 medical devices in two general hospitals in Baghdad. Static risk factor components (equipment function and physical risk) and dynamics risk components (maintenance requirements and risk points) have been calculated. These risk components are used as an input to the unsupervised Kohonen self organization maps. The accuracy of the network was found to be equal to 98% for the proposed system. We conclude that the proposed model gives fast and accurate assessment for risk priority and it works as promising tool for risk factor assessment for the service departments in large hospitals in Iraq.<br />Nebras H. GhaebShetha K. AbidAli Hussian Ali Al TimemyAl-Khwarizmi College of Engineering – University of BaghdadarticleRisk factorsNeural NetworksSOMand Risk PriorityChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 5, Iss 1, Pp 71-82 (2009)
institution	DOAJ
collection	DOAJ
language	EN
topic	Risk factors Neural Networks SOM and Risk Priority Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Risk factors Neural Networks SOM and Risk Priority Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Nebras H. Ghaeb Shetha K. Abid Ali Hussian Ali Al Timemy A Proposed Artificial Intelligence Algorithm for Assessing of Risk Priority for Medical Equipment in Iraqi Hospital
description	This paper presents a robust algorithm for the assessment of risk priority for medical equipment based on the calculation of static and dynamic risk factors and Kohnen Self Organization Maps (SOM). Four risk parameters have been calculated for 345 medical devices in two general hospitals in Baghdad. Static risk factor components (equipment function and physical risk) and dynamics risk components (maintenance requirements and risk points) have been calculated. These risk components are used as an input to the unsupervised Kohonen self organization maps. The accuracy of the network was found to be equal to 98% for the proposed system. We conclude that the proposed model gives fast and accurate assessment for risk priority and it works as promising tool for risk factor assessment for the service departments in large hospitals in Iraq.<br />
format	article
author	Nebras H. Ghaeb Shetha K. Abid Ali Hussian Ali Al Timemy
author_facet	Nebras H. Ghaeb Shetha K. Abid Ali Hussian Ali Al Timemy
author_sort	Nebras H. Ghaeb
title	A Proposed Artificial Intelligence Algorithm for Assessing of Risk Priority for Medical Equipment in Iraqi Hospital
title_short	A Proposed Artificial Intelligence Algorithm for Assessing of Risk Priority for Medical Equipment in Iraqi Hospital
title_full	A Proposed Artificial Intelligence Algorithm for Assessing of Risk Priority for Medical Equipment in Iraqi Hospital
title_fullStr	A Proposed Artificial Intelligence Algorithm for Assessing of Risk Priority for Medical Equipment in Iraqi Hospital
title_full_unstemmed	A Proposed Artificial Intelligence Algorithm for Assessing of Risk Priority for Medical Equipment in Iraqi Hospital
title_sort	proposed artificial intelligence algorithm for assessing of risk priority for medical equipment in iraqi hospital
publisher	Al-Khwarizmi College of Engineering – University of Baghdad
publishDate	2009
url	https://doaj.org/article/b7e5d8f44e794788b71815cb170f0a26
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A Proposed Artificial Intelligence Algorithm for Assessing of Risk Priority for Medical Equipment in Iraqi Hospital

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