Alzheimers Disease - An Update

Rahman, Aminur; Salam, Farhana; Islam, Ariful; Anwarullah, Akm; Islam, Rafiqul; Miah, Nurul Amin; Saha, Uttam Kumar; Ali, Zahed

doi:10.3329/bjn.v28i1.17193

Cited by 5 publications

(1 citation statement)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e fund for researching Alzheimer's is limited. A lower-middle-income country like Bangladesh is not yet prepared for the management of Alzheimer's [34]. Besides that, almost one-fifth of the Bangladeshi adult population is overweight, according to a global study [35], which is the leading risk factor for Alzheimer's.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer’s Disease

Antor

Jamil

Mamtaz

et al. 2021

Journal of Healthcare Engineering

View full text Add to dashboard Cite

Alzheimer’s disease has been one of the major concerns recently. Around 45 million people are suffering from this disease. Alzheimer’s is a degenerative brain disease with an unspecified cause and pathogenesis which primarily affects older people. The main cause of Alzheimer’s disease is Dementia, which progressively damages the brain cells. People lost their thinking ability, reading ability, and many more from this disease. A machine learning system can reduce this problem by predicting the disease. The main aim is to recognize Dementia among various patients. This paper represents the result and analysis regarding detecting Dementia from various machine learning models. The Open Access Series of Imaging Studies (OASIS) dataset has been used for the development of the system. The dataset is small, but it has some significant values. The dataset has been analyzed and applied in several machine learning models. Support vector machine, logistic regression, decision tree, and random forest have been used for prediction. First, the system has been run without fine-tuning and then with fine-tuning. Comparing the results, it is found that the support vector machine provides the best results among the models. It has the best accuracy in detecting Dementia among numerous patients. The system is simple and can easily help people by detecting Dementia among them.

show abstract

Section: Introductionmentioning

confidence: 99%

A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer’s Disease

Antor

Jamil

Mamtaz

et al. 2021

Journal of Healthcare Engineering

View full text Add to dashboard Cite

show abstract

Alzheimer's Disease Prediction Using Convolutional Neural Network Models Leveraging Pre-existing Architecture and Transfer Learning

Abed

Fatema

Nabil

et al. 2020

2020 Joint 9th International Conference on Informatics, Electronics &Amp; Vision (ICIEV) and 2020 4th International Conference

View full text Add to dashboard Cite

``People may assume that my mother is mad'': Unpacking Alzheimer's Care in Bangladesh

Jobair,

Khaium

2024

Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

Alzheimers Disease - An Update

Abstract: Bangladesh Journal of Neuroscience 2012; Vol. 28 (1): 52-58

Cited by 5 publications

References 26 publications

A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer’s Disease

A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer’s Disease

Alzheimer's Disease Prediction Using Convolutional Neural Network Models Leveraging Pre-existing Architecture and Transfer Learning

``People may assume that my mother is mad'': Unpacking Alzheimer's Care in Bangladesh

Contact Info

Product

Resources

About

Alzheimers Disease - An Update

Abstract: Bangladesh Journal of Neuroscience 2012; Vol. 28 (1): 52-58

Cited by 5 publications

References 26 publications

A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer’s Disease

A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer’s Disease

Alzheimer's Disease Prediction Using Convolutional Neural Network Models Leveraging Pre-existing Architecture and Transfer Learning

``People may assume that my mother is mad'': Unpacking Alzheimer's Care in Bangladesh

Contact Info

Product

Resources

About

Alzheimers Disease - An Update