Machine and deep learning algorithms for classifying different types of dementia: A literature review
The cognitive impairment known as dementia affects millions of individuals throughout the
globe. The use of machine learning (ML) and deep learning (DL) algorithms has shown …
globe. The use of machine learning (ML) and deep learning (DL) algorithms has shown …
A novel lithium-ion battery state-of-health estimation method for fast-charging scenarios based on an improved multi-feature extraction and bagging temporal attention …
Accurately estimating the state of health (SOH) of fast-charging lithium-ion batteries is crucial
for safely and reliably operating battery systems. However, handling data scarcity and rapid …
for safely and reliably operating battery systems. However, handling data scarcity and rapid …
[HTML][HTML] A novel integrated logistic regression model enhanced with recursive feature elimination and explainable artificial intelligence for dementia prediction
Dementia is a major global health issue that significantly impacts millions of individuals,
families, and societies worldwide, creating a substantial burden on healthcare systems. This …
families, and societies worldwide, creating a substantial burden on healthcare systems. This …
Customer Shop** Behavior Analysis Using RFID and Machine Learning Models
Analyzing customer shop** habits in physical stores is crucial for enhancing the retailer–
customer relationship and increasing business revenue. However, it can be challenging to …
customer relationship and increasing business revenue. However, it can be challenging to …
Decision support system for predicting mortality in cardiac patients based on machine learning
Researchers have proposed several automated diagnostic systems based on machine
learning and data mining techniques to predict heart failure. However, researchers have not …
learning and data mining techniques to predict heart failure. However, researchers have not …
An intelligent learning system based on electronic health records for unbiased stroke prediction
Stroke has a negative impact on people's lives and is one of the leading causes of death
and disability worldwide. Early detection of symptoms can significantly help predict stroke …
and disability worldwide. Early detection of symptoms can significantly help predict stroke …
Breaking barriers: a statistical and machine learning-based hybrid system for predicting dementia
Introduction: Dementia is a condition (a collection of related signs and symptoms) that
causes a continuing deterioration in cognitive function, and millions of people are impacted …
causes a continuing deterioration in cognitive function, and millions of people are impacted …
Innovations in stroke identification: A machine learning-based diagnostic model using neuroimages
Cerebrovascular diseases such as stroke are among the most common causes of death and
disability worldwide and are preventable and treatable. Early detection of strokes and their …
disability worldwide and are preventable and treatable. Early detection of strokes and their …
[HTML][HTML] Evaluation of Machine Learning Models for the Prediction of Alzheimer's: In Search of the Best Performance
Alzheimer's is a progressive and degenerative disease affecting millions worldwide,
incapacitating them physically and cognitively. This study aims to perform a comparative …
incapacitating them physically and cognitively. This study aims to perform a comparative …
Unveiling Cancer: A Data‐Driven Approach for Early Identification and Prediction Using F‐RUS‐RF Model
Globally, cancer is the second‐leading cause of death after cardiovascular disease. To
improve survival rates, risk factors and cancer predictors must be identified early. From the …
improve survival rates, risk factors and cancer predictors must be identified early. From the …