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01 May 09
Technology Review: Blogs: arXiv blog: A Neural Net That Diagnoses Epilepsy
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Around 50 million people suffer from epilepsy--about 1 percent of the world's population, say Forrest Sheng Bao at Texas Tech University, in Lubbock, and a few pals.
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The team developed the system by training a neural network to recognize the characteristic patterns in interictal data that indicate that the patient is epileptic. And the researchers claim an accuracy rate of 94 percent--about the same as experienced human operators, who usually have to strip various kinds of noise and artifacts out of the data before they can do their job.
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