Introduction of affinity set and its application in data-mining example of delayed diagnosis

Chen, Yuh-Wen and Larbani, Moussa and Hsieh, Cheng-Yen and Chen, Chao-Wen (2009) Introduction of affinity set and its application in data-mining example of delayed diagnosis. Expert Systems with Application, 36. pp. 10883-10889. ISSN 0957-4174

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Abstract

At least 44,000 people die in hospitals each year as a result of medical errors, and these deaths are becoming the eighth-leading cause of death in the United States. Thus, medical providers have the responsibility to pay attention for reducing avoidable medical errors and improve patient safety as best as they can. It requires the rapid evaluation and prioritisation of life threatening injuries in the primary survey followed by a detailed secondary survey in the emergency room. However, time is always valuable and limited such that some important vital signs may be delayed and ignored. This research explores delayed diagnosis problem and uses the affinity set by Topology concept to classify/focus on key attributes causing delayed diagnosis (missed injury) in order to reduce error risk. Results interestingly indicate that when a patient can breathe normally, but his (or her) blood-pressure or pulse is abnormal, a high probability of delayed diagnosis exists. This affinity work also compares the performance with the model of rough set (Rosetta), neural network, support vector machine and logistic regression. And our affinity model shows its advantage by prediction accuracy and explanation power

Item Type:	Article (Journal)
Additional Information:	3917/1546
Uncontrolled Keywords:	Delayed diagnosis, emergency room (ER), affinity set, data-mining, topology, rough set, neural network, support vector machine
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Economics and Management Sciences Kulliyyah of Economics and Management Sciences > Department of Business Administration
Depositing User:	Ms Zati Atiqah Mohamad Tanuri
Date Deposited:	22 Aug 2011 12:31
Last Modified:	22 Aug 2011 12:31
URI:	http://irep.iium.edu.my/id/eprint/1546

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