MRIAD: A Pre-clinical Prevalence Study on Alzheimer’s Disease Prediction Through Machine Learning Classifiers

Jannatul Loba, Md Rajib Mia, Imran Mahmud, Md Julkar Nayeen Mahi, Md Whaiduzzaman, Kawsar Ahmed

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Alzheimer’s disease (AD) is a neurological illness that worsens with time. The aged population has expanded in recent years, as has the prevalence of geriatric illnesses. There is no cure, but early detection and proper treatment allow sufferers to live normal lives. Furthermore, people with this disease’s immune systems steadily degenerate, resulting in a wide range of severe disorders. Neuroimaging Data from magnetic resonance imaging (MRI) is utilized to identify and detect the disease as early as possible. The data is derived from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) collection of 266 people with 177 structural brain MRI imaging, DTI, and PET data for intermediate disease diagnosis. When neuropsychological and cognitive data are integrated, the study found that ML can aid in the identification of preclinical Alzheimer’s disease. Our primary objective is to develop a model that is reliable, simple, and rapid for diagnosing preclinical Alzheimer’s disease. According to our findings (MRIAD), the Logistic Regression (LR) model has the best accuracy and classification prediction of about 98%. The ML model is also developed in the paper. This article profoundly, describes the possibility to getting into Alzheimer’s disease (AD) information from the pre-clinical or non-preclinical trial datasets using Machine Learning Classifier (ML) approaches.

Original languageEnglish
Title of host publicationThe 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023) -
EditorsMuhammad Younas, Irfan Awan, Salima Benbernou, Dana Petcu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages68-80
Number of pages13
ISBN (Print)9783031423161
DOIs
Publication statusPublished - 2023
Event4th Joint International Conference on Deep Learning, Big Data and Blockchain, DBB 2023 - Marrakech, Morocco
Duration: 14 Aug 202316 Aug 2023

Publication series

NameLecture Notes in Networks and Systems
Volume768 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference4th Joint International Conference on Deep Learning, Big Data and Blockchain, DBB 2023
Country/TerritoryMorocco
CityMarrakech
Period14/08/2316/08/23

Keywords

  • Alzheimer’s Disease
  • Logistic Regression
  • Machine Learning
  • MRI

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