Machine learning for dementia prediction: a systematic review and future research directions
Abstract Nowadays, Artificial Intelligence (AI) and machine learning (ML) have successfully
provided automated solutions to numerous real-world problems. Healthcare is one of the …
provided automated solutions to numerous real-world problems. Healthcare is one of the …
Exploring the applications of machine learning in healthcare
TJ Saleem, MA Chishti - International Journal of Sensors …, 2020 - benthamdirect.com
The rapid progress in domains like machine learning, and big data has created plenty of
opportunities in data-driven applications particularly healthcare. Incorporating machine …
opportunities in data-driven applications particularly healthcare. Incorporating machine …
Covid-19 prediction applying supervised machine learning algorithms with comparative analysis using weka
Early diagnosis is crucial to prevent the development of a disease that may cause danger to
human lives. COVID-19, which is a contagious disease that has mutated into several …
human lives. COVID-19, which is a contagious disease that has mutated into several …
Classification of Alzheimer's disease with and without imagery using gradient boosted machines and ResNet-50
Background. Alzheimer's is a disease for which there is no cure. Diagnosing Alzheimer's
disease (AD) early facilitates family planning and cost control. The purpose of this study is to …
disease (AD) early facilitates family planning and cost control. The purpose of this study is to …
A hybrid machine learning approach for prediction of conversion from mild cognitive impairment to dementia
M Bucholc, S Titarenko, X Ding, C Canavan… - Expert Systems with …, 2023 - Elsevier
Mild cognitive impairment (MCI) represents a precursor to dementia for many individuals;
however, some forms of MCI tend to remain stable over time and do not progress to …
however, some forms of MCI tend to remain stable over time and do not progress to …
Performance comparison of machine learning techniques in identifying dementia from open access clinical datasets
Identified mainly by memory loss and social inability, dementia may result from several
different diseases. In the world with ever growing elderly population, the problem of …
different diseases. In the world with ever growing elderly population, the problem of …
A dominant set-informed interpretable fuzzy system for automated diagnosis of dementia
Dementia is an incurable neurodegenerative disease primarily affecting the older
population, for which the World Health Organisation has set to promoting early diagnosis …
population, for which the World Health Organisation has set to promoting early diagnosis …
Assessing the potential impacts of climate change on current coastal ecosystems—A Canadian case study
Understanding how climate change affects coastal ecosystems is one of the most important
elements in determining vulnerability and resilience for long-term ecosystem management …
elements in determining vulnerability and resilience for long-term ecosystem management …
Machine learning for the preliminary diagnosis of dementia
Objective. The reliable diagnosis remains a challenging issue in the early stages of
dementia. We aimed to develop and validate a new method based on machine learning to …
dementia. We aimed to develop and validate a new method based on machine learning to …
Data driven approach for eye disease classification with machine learning
Medical health systems have been concentrating on artificial intelligence techniques for
speedy diagnosis. However, the recording of health data in a standard form still requires …
speedy diagnosis. However, the recording of health data in a standard form still requires …