Confidence in medical decision making: application in temporal lobe epilepsy data mining

Authors:
Shobeir Fakhraei;Hamid Soltanian-Zadeh;Farshad Fotouhi;Kost Elisevich
Affiliations:
Wayne State University & Henry Ford Health System, Detroit, MI, USA;Henry Ford Health System & University of Tehran, Detroit, MI, USA;Wayne State University, Detroit, MI, USA;Henry Ford Health System, Detroit, MI, USA
Venue:
Proceedings of the 2011 workshop on Data mining for medicine and healthcare
Year:
2011

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Abstract

Prior to neurosurgical resection of abnormal brain tissues in mTLE patients, focal points of the seizure should be identified via a set of examinations. Once decisive evidence is not present in noninvasive clinical profile of mTLE patients, extraoperative Electrocorticography (ECoG) is required which is the practice of using electrodes placed directly on the exposed surface of the brain. Through classification techniques on a dataset of mTLE patients, we have studied the possibility of reduction of such requirement and shown significant results. Furthermore, we compared the performance of six well known classifiers using the area under receiver operating characteristic (ROC) curve (AUC) and a proposed measure of decision confidence. We have shown that in critical domains such as medicine, use of AUC does not provide sufficient information about the confidence of the classification and further measures are needed.