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Hindi Journal of Applied Bioinformatics & Computational BiologyISSN: 2329-9533
Jeyakumar Natarajan1 Author
Subjects of specialization
Affiliation
Machine Learning , Pattern Recognition, Classification Advanced, Machine Learning
Data Mining and Text Mining Laboratory, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamilnadu, India
Biography
is currently working as a Professor at Bharathiar University. From 2011 to 2014 he worked as a Associate Professor in the same University. He received Ph. D. in Computational Biology and Bioinformatics in University of Ulster, UK. He persude his M.Sc. in physics at Annamalai University, Chidambaram andhe persude his B.Sc.in Physics at Bharathidasan University, Trichy Affiliated University with Bharathidasan. University.
Publications
Research Article Open Access
A Long Short-Term Memory Deep Learning Network for MRI Based Alzheimer’s Disease Dementia Classification
Author(s): Sneha Mirulalini Gnanasegar1 , Balu Bhasuran2 and Jeyakumar Natarajan1 *
MRI data has been widely used for early detection and diagnosis of Alzheimer’s disease. This work outlines a deep learning based Long Short-Term Memory (LSTM) algorithm combined with Boruta algorithm-based feature selection approach was used to classify the Alzheimer disease MRI dataset as demented or non-demented. The wrapper based all relevant algorithm Boruta is used to select the important features from MRI data set. LSTM is a type of recurrent neural network with layered architecture to classify the datasets. The advantage of using LSTM is that it creates memory components that are for both short and long terms compared to traditional RNNs. The feature selection approach identified measures such as CDR (Clinical Dementia Rating) and MMSE (Mini mental status Examination) as th... view more»
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