An LDA and probability-based classifier for the diagnosis of Alzheimer's Disease from structural MRI


Autoria(s): Spedding, Alexander Luke; Di Fatta, Giuseppe; Saddy, James Douglas
Data(s)

2015

Resumo

In this paper a custom classification algorithm based on linear discriminant analysis and probability-based weights is implemented and applied to the hippocampus measurements of structural magnetic resonance images from healthy subjects and Alzheimer’s Disease sufferers; and then attempts to diagnose them as accurately as possible. The classifier works by classifying each measurement of a hippocampal volume as healthy controlsized or Alzheimer’s Disease-sized, these new features are then weighted and used to classify the subject as a healthy control or suffering from Alzheimer’s Disease. The preliminary results obtained reach an accuracy of 85.8% and this is a similar accuracy to state-of-the-art methods such as a Naive Bayes classifier and a Support Vector Machine. An advantage of the method proposed in this paper over the aforementioned state of the art classifiers is the descriptive ability of the classifications it produces. The descriptive model can be of great help to aid a doctor in the diagnosis of Alzheimer’s Disease, or even further the understand of how Alzheimer’s Disease affects the hippocampus.

Formato

text

Identificador

http://centaur.reading.ac.uk/50927/1/DiFatta-2015-HiBB-BIBM-LDA.pdf

Spedding, A. L., Di Fatta, G. <http://centaur.reading.ac.uk/view/creators/90000558.html> and Saddy, J. D. <http://centaur.reading.ac.uk/view/creators/90000547.html> (2015) An LDA and probability-based classifier for the diagnosis of Alzheimer's Disease from structural MRI. In: The IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 9-12 Nov 2015, Washington D.C.,, pp. 1404-1411. doi: 10.1109/BIBM.2015.7359883 <http://dx.doi.org/10.1109/BIBM.2015.7359883>

Idioma(s)

en

Relação

http://centaur.reading.ac.uk/50927/

creatorInternal Di Fatta, Giuseppe

creatorInternal Saddy, James Douglas

http://dx.doi.org/10.1109/BIBM.2015.7359883

doi:10.1109/BIBM.2015.7359883

Tipo

Conference or Workshop Item

PeerReviewed