Machine Learning Technology Used to Assist the Detection of Alzheimer's Disease

Authors

  • Sayantan Mukhopadhyay Associate Professor, School of Pharmacy and Research, Dev Bhoomi Uttarakhand University, Uttarakhand, India
  • Haripriya V. Assistant Professor, Department of Computer Science and IT, Jain(Deemed-to-be University), Bangalore-27, India
  • Gaurav Kumar Rajput Assistant Professor, College of Computing Science and Information Technology, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India
  • Ragavendra U. Professor, School of Engineering & Technology, Jaipur National University, Jaipur, India

Keywords:

Alzheimer's disease, detection, machine learning (ML), modified probabilistic neural-adaptive naive Bayes (MPN-NB)

Abstract

Alzheimer's disease (AD) represents a neurological condition that impairs daily functioning and causes progressive cognitive impairment. AD must be identified as early as possible in order to allow for effective treatment and better patient outcomes. Additionally, in the last few decades, machine learning has become a potent tool for aiding AD identification. So, using machine learning (ML), this research offers a modified probabilistic neural-adaptive naive Bayes (MPN-NB) for diagnosing AD. The suggested strategy combines both NB and probabilistic neural network (PNN) techniques. This study uses the ADNI dataset to analyze the suggested MPN-NB approach. In terms of multiple metrics, including accuracy, sensitivity, Precision, specificity, and f-measure, the performance of the suggested method is assessed. It is clear that our suggested method performs better in detecting AD than the other ones that are already in use.

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Published

11.07.2023

How to Cite

Mukhopadhyay, S. ., V., H. ., Rajput, G. K. ., & U., R. . (2023). Machine Learning Technology Used to Assist the Detection of Alzheimer’s Disease. International Journal of Intelligent Systems and Applications in Engineering, 11(8s), 123–128. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3030

Issue

Vol. 11 No. 8s (2023): Advances on Machine Learning and Artificial Intelligence in Computer Technology

Section

Research Article

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