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[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 …
Alzheimer's disease recognition using graph neural network by leveraging image-text similarity from vision language model
Abstract Alzheimer's disease (AD), a progressive neurodegenerative condition, notably
impacts cognitive functions and daily activity. One method of detecting dementia involves a …
impacts cognitive functions and daily activity. One method of detecting dementia involves a …
Deep Insights into Cognitive Decline: A Survey of Leveraging Non-Intrusive Modalities with Deep Learning Techniques
Cognitive decline is a natural part of aging, often resulting in reduced cognitive abilities. In
some cases, however, this decline is more pronounced, typically due to disorders such as …
some cases, however, this decline is more pronounced, typically due to disorders such as …
Explainable multimodal fusion for dementia detection from text and speech
Alzheimer's dementia (AD) has significant negative impacts on patients, their families, and
society as a whole, both psychologically and economically. Recent research has explored …
society as a whole, both psychologically and economically. Recent research has explored …
Uncovering Linguistic Patterns: A Machine Learning Exploration for Early Dementia Detection in Speech Transcripts
A Shakeri, SA Freja, Y Hallaj… - 2024 4th International …, 2024 - ieeexplore.ieee.org
Dementia, a prevalent neurodegenerative disorder, demands early detection for effective
intervention and support. This paper leverages machine learning and deep learning models …
intervention and support. This paper leverages machine learning and deep learning models …
PainFusion: Multimodal Pain Assessment from RGB and Sensor Data
Traditional pain assessment tools often rely on subjective self-reporting methods, hindering
the work of healthcare professionals. However, the patient's facial expressions and …
the work of healthcare professionals. However, the patient's facial expressions and …
From Medical Consultation to Diagnosis Generation Using Deep Learning
Sanitary professionals often experience burnout due to long working hours and the stress
associated with handling sensitive situations. Consequently, in recent years, significant …
associated with handling sensitive situations. Consequently, in recent years, significant …
Multimodal Deepfake Detection using Deep-Convolutional Neural Networks and Mel-Frequency Cepstral Coefficients
N Martin, SR Nambayil, U Devikrishna… - … Conference on Signal …, 2024 - ieeexplore.ieee.org
Deepfake technology has raised significant concerns regarding the authenticity of
multimedia content, posing threats to security, privacy, and trust in digital media. This work …
multimedia content, posing threats to security, privacy, and trust in digital media. This work …
Automatic Recognition System for Public Transport Robberies Based on Deep Learning
Public transport security is a major concern in many cities, with robbery being a frequent and
alarming issue. This study introduces the Automatic Alert System for Public Transport …
alarming issue. This study introduces the Automatic Alert System for Public Transport …
Classification of Alzheimer's Disease from Cranial MRI Images Using Transfer Learning
Alzheimer's disease (AD) is a progressive neurodegenerative disease mostly seen in the
elderly affecting memory, thinking, and the ability to perform daily activities. As the incidence …
elderly affecting memory, thinking, and the ability to perform daily activities. As the incidence …