Abstract
Artificial intelligence and its sub-field machine learning are continuously evolving and being applied in medicine and healthcare amongst other important fields. Machine learning and deep learning are frequently used to aid dementia prediction and diagnosis. Deep learning models are better than other machine learning models for dementia detection and prediction, but they are more computationally very expensive. The objective of the work is to build a deep learning model to predict dementia. This model is designed to predict dementia from brain MRI images and is based on the concepts of deep learning and convolutional neural network (CNN). The developed model is able to identify demented and non-demented MRI images with an accuracy of 99.35%, better than existing models.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Nori VS, Hane CA, Crown WH, Au R, Burke WJ, Sanghavi DM, Bleicher P (2019) Machine learning models to predict onset of dementia: a label learning approach. In: Alzheimer’s & Dementia: translational research & clinical ınterventions, vol 5, pp 918–925
Isik Z, Yiğit A (2019) Applying deep learning models on structural MRI for stage prediction of Alzheimer’s disease. Turk J Electr Eng Comp Sci 28(1), Article 14
Basheer S, Bhatia S, Sakri SB (2021) Computational modeling of Dementia prediction using deep neural network: analysis on OASIS dataset. IEEE Access 9:42449–42462
Mathkunti NM, Rangaswamy S (2020) Machine learning techniques to ıdentify Dementia. SN Comput Sci 1:118
Albright J (2019) Forecasting the progression of Alzheimer’s disease using neural networks and a novel preprocessing algorithm. In: Alzheimer’s & Dementia: translational research & clinical ınterventions, vol 5, pp 483–491
Singhania U, Tripathy B, Hasan MK, Anumbe NC, Alboaneen D, Ahmed FR, Ahmed TE, Nour MM (2021) A predictive and preventive model for onset of alzheimer’s disease. Front Public Health 9
Li H, Habes M, Wolk DA, Fan Y (2019) A deep learning model for early prediction of Alzheimer’s disease dementia based on hippocampal magnetic resonance imaging data. Alzheimers Dement 15(8):1059–1070
Lee J, Burkett BJ, Min HK et al (2022) Deep learning-based brain age prediction in normal aging and dementia. Nature Aging 2:412–424
Nori VS, Hane CA, Sun Y, Crown WH, Bleicher PA (2020) Deep neural network models for identifying incident dementia using claims and EHR datasets. PLoS One 15(9)
Alzheimer’s dataset. https://www.kaggle.com/datasets/tourist55/alzheimers-dataset-4-class-of-images
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Baliyan, T., Singh, T., Pandey, V., Kartheek, G.C.R. (2023). Prediction of Dementia Using Deep Learning. In: Reddy, K.A., Devi, B.R., George, B., Raju, K.S., Sellathurai, M. (eds) Proceedings of Fourth International Conference on Computer and Communication Technologies. Lecture Notes in Networks and Systems, vol 606. Springer, Singapore. https://doi.org/10.1007/978-981-19-8563-8_18
Download citation
DOI: https://doi.org/10.1007/978-981-19-8563-8_18
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-8562-1
Online ISBN: 978-981-19-8563-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)