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A Web-Based Model to Predict a Neurological Disorder Using ANN

Dementia is a condition in which cognitive ability deteriorates beyond what can be anticipated with natural ageing. Characteristically it is recurring and deteriorates gradually with time affecting a person’s ability to remember, think logically, to move about, to learn, and to speak just to name a...

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Autores principales: Almazroi, Abdulwahab Ali, Alamin, Hitham, Sujatha, Radhakrishnan, Jhanjhi, Noor Zaman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408174/
https://www.ncbi.nlm.nih.gov/pubmed/36011132
http://dx.doi.org/10.3390/healthcare10081474
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author Almazroi, Abdulwahab Ali
Alamin, Hitham
Sujatha, Radhakrishnan
Jhanjhi, Noor Zaman
author_facet Almazroi, Abdulwahab Ali
Alamin, Hitham
Sujatha, Radhakrishnan
Jhanjhi, Noor Zaman
author_sort Almazroi, Abdulwahab Ali
collection PubMed
description Dementia is a condition in which cognitive ability deteriorates beyond what can be anticipated with natural ageing. Characteristically it is recurring and deteriorates gradually with time affecting a person’s ability to remember, think logically, to move about, to learn, and to speak just to name a few. A decline in a person’s ability to control emotions or to be social can result in demotivation which can severely affect the brain’s ability to perform optimally. One of the main causes of reliance and disability among older people worldwide is dementia. Often it is misunderstood which results in people not accepting it causing a delay in treatment. In this research, the data imputation process, and an artificial neural network (ANN), will be established to predict the impact of dementia. based on the considered dataset. The scaled conjugate gradient algorithm (SCG) is employed as a training algorithm. Cross-entropy error rates are so minimal, showing an accuracy of 95%, 85.7% and 89.3% for training, validation, and test. The area under receiver operating characteristic (ROC) curve (AUC) is generated for all phases. A Web-based interface is built to get the values and make predictions.
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spelling pubmed-94081742022-08-26 A Web-Based Model to Predict a Neurological Disorder Using ANN Almazroi, Abdulwahab Ali Alamin, Hitham Sujatha, Radhakrishnan Jhanjhi, Noor Zaman Healthcare (Basel) Article Dementia is a condition in which cognitive ability deteriorates beyond what can be anticipated with natural ageing. Characteristically it is recurring and deteriorates gradually with time affecting a person’s ability to remember, think logically, to move about, to learn, and to speak just to name a few. A decline in a person’s ability to control emotions or to be social can result in demotivation which can severely affect the brain’s ability to perform optimally. One of the main causes of reliance and disability among older people worldwide is dementia. Often it is misunderstood which results in people not accepting it causing a delay in treatment. In this research, the data imputation process, and an artificial neural network (ANN), will be established to predict the impact of dementia. based on the considered dataset. The scaled conjugate gradient algorithm (SCG) is employed as a training algorithm. Cross-entropy error rates are so minimal, showing an accuracy of 95%, 85.7% and 89.3% for training, validation, and test. The area under receiver operating characteristic (ROC) curve (AUC) is generated for all phases. A Web-based interface is built to get the values and make predictions. MDPI 2022-08-05 /pmc/articles/PMC9408174/ /pubmed/36011132 http://dx.doi.org/10.3390/healthcare10081474 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Almazroi, Abdulwahab Ali
Alamin, Hitham
Sujatha, Radhakrishnan
Jhanjhi, Noor Zaman
A Web-Based Model to Predict a Neurological Disorder Using ANN
title A Web-Based Model to Predict a Neurological Disorder Using ANN
title_full A Web-Based Model to Predict a Neurological Disorder Using ANN
title_fullStr A Web-Based Model to Predict a Neurological Disorder Using ANN
title_full_unstemmed A Web-Based Model to Predict a Neurological Disorder Using ANN
title_short A Web-Based Model to Predict a Neurological Disorder Using ANN
title_sort web-based model to predict a neurological disorder using ann
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408174/
https://www.ncbi.nlm.nih.gov/pubmed/36011132
http://dx.doi.org/10.3390/healthcare10081474
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