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

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.

DOI: 10.1145/2023582.2023593

Extracted Key Phrases

4 Figures and Tables

Cite this paper

@inproceedings{Fakhraei2011ConfidenceIM, title={Confidence in medical decision making: application in temporal lobe epilepsy data mining}, author={Shobeir Fakhraei and Hamid Soltanian-Zadeh and Farshad Fotouhi and Kost V. Elisevich}, booktitle={DMMH '11}, year={2011} }