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Volume 16
Issue 7
10.3390/ijerph16071303
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Article

Application of Artificial Neural Networks to Identify Alzheimer’s Disease Using Cerebral Perfusion SPECT Data

by
Dariusz Świetlik
1,* and
Jacek Białowąs
2
1
Intrafaculty College of Medical Informatics and Biostatistics, Medical University of Gdańsk, 1 Debinki St., 80-211 Gdańsk, Poland
2
Department of Anatomy and Neurobiology, Medical University of Gdańsk, 1 Debinki St., 80-211 Gdańsk, Poland
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2019, 16(7), 1303; https://doi.org/10.3390/ijerph16071303
Received: 18 March 2019 / Revised: 9 April 2019 / Accepted: 10 April 2019 / Published: 11 April 2019
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Abstract

The aim of this study was to demonstrate the usefulness of artificial neural networks in Alzheimer disease diagnosis (AD) using data of brain single photon emission computed tomography (SPECT). The results were compared with discriminant analysis. The study population consisted of 132 clinically diagnosed patients. There were 72 subjects with AD and 60 belonging to the normal control group. The artificial neural network used 36 numerical values being the count numbers obtained for each area of brain SPECT. These numbers determined the set of input data for the artificial neural network. The sensitivity of Alzheimer disease diagnosis detection by artificial neural network and discriminant analysis were 93.8% and 86.1%, respectively, and the corresponding specificity was 100% and 95%. We also used receiver operating characteristic curve (ROC) analysis and areas under receiver operating characteristics curves were correspondingly 0.97 (p < 0.0001) for the artificial neural networks (ANN) and 0.96 (p < 0.0001) for discriminant analysis. In conclusion, artificial neural networks and conventional statistics methods (discriminant analysis) are a useful tool in Alzheimer disease diagnosis. View Full-Text
Keywords: neural networks; SPECT; Alzheimer’s disease neural networks; SPECT; Alzheimer’s disease
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MDPI and ACS Style

Świetlik, D.; Białowąs, J. Application of Artificial Neural Networks to Identify Alzheimer’s Disease Using Cerebral Perfusion SPECT Data. Int. J. Environ. Res. Public Health 2019, 16, 1303. https://doi.org/10.3390/ijerph16071303

AMA Style

Świetlik D, Białowąs J. Application of Artificial Neural Networks to Identify Alzheimer’s Disease Using Cerebral Perfusion SPECT Data. International Journal of Environmental Research and Public Health. 2019; 16(7):1303. https://doi.org/10.3390/ijerph16071303

Chicago/Turabian Style

Świetlik, Dariusz, and Jacek Białowąs. 2019. "Application of Artificial Neural Networks to Identify Alzheimer’s Disease Using Cerebral Perfusion SPECT Data" International Journal of Environmental Research and Public Health 16, no. 7: 1303. https://doi.org/10.3390/ijerph16071303

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