Topic: Using Support Vector Machines with Multiple Indices of Diffusion for Automated Classification of Mild Cognitive Impairment
  • Speaker: Wen Hongwei
  • Date: 10:00 P.M., Monday, Jul 6, 2015
  • Place: Room 1020
Abstract

Greater than 90% sensitivity and specificity was achieved using this method, demonstrating the potential of a joint DTI and SVM pipeline for fast, objective classification of healthy older and MCI subjects. Such tools may be useful for large scale drug trials in Alzheimer’s disease where the early identification of subjects with MCI is critical.

References

O'Dwyer, L., Lamberton, F., Bokde, A.L.W., Ewers, M., Faluyi, Y.O., Tanner, C., Mazoyer, B., O'Neill, D., Bartley, M., Collins, D.R., Coughlan, T., Prvulovic, D., Hampel, H. (2012a) Using Support Vector Machines with Multiple Indices of Diffusion for Automated Classification of Mild Cognitive Impairment. Plos One, 7.

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Last Modified: 2015/07/06 12:20 | Author: Wen Hongwei