Explainable artificial intelligence in Alzheimer's disease classification: A systematic review
The unprecedented growth of computational capabilities in recent years has allowed
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …
Artificial intelligence for cognitive health assessment: state-of-the-art, open challenges and future directions
AR Javed, A Saadia, H Mughal, TR Gadekallu… - Cognitive …, 2023 - Springer
The subjectivity and inaccuracy of in-clinic Cognitive Health Assessments (CHA) have led
many researchers to explore ways to automate the process to make it more objective and to …
many researchers to explore ways to automate the process to make it more objective and to …
State-of-the-art of stress prediction from heart rate variability using artificial intelligence
Recent advancements in the manufacturing and commercialisation of miniaturised sensors
and low-cost wearables have enabled an effortless monitoring of lifestyle by detecting and …
and low-cost wearables have enabled an effortless monitoring of lifestyle by detecting and …
Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection
Explainable artificial intelligence (XAI) has gained much interest in recent years for its ability
to explain the complex decision-making process of machine learning (ML) and deep …
to explain the complex decision-making process of machine learning (ML) and deep …
Towards machine learning driven self-guided virtual reality exposure therapy based on arousal state detection from multimodal data
Virtual-reality exposure therapy (VRET) is a novel intervention technique that allows
individuals to experience anxiety evoking stimuli in a safe environment, to recognise specific …
individuals to experience anxiety evoking stimuli in a safe environment, to recognise specific …
Early prediction of chronic kidney disease using machine learning algorithms with feature selection techniques
S Umme Habiba, F Tasnim… - … Conference on Applied …, 2023 - Springer
Abstract Chronic Kidney Disease (CKD) poses significant health risks, particularly for elderly
and middle-aged individuals, leading to gradual kidney damage and reduced renal function …
and middle-aged individuals, leading to gradual kidney damage and reduced renal function …
Comprehensive Analysis of Nature-Inspired Algorithms for Parkinson's Disease Diagnosis
Parkinson's disease (PD) is a prominent neurodegenerative disease that damages the
neurons of the substantia nigra, causing irreversible impairments leading to involuntary …
neurons of the substantia nigra, causing irreversible impairments leading to involuntary …
Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning
Virtual reality exposure therapy (VRET) is a novel intervention technique that allows
individuals to experience anxiety-evoking stimuli in a safe environment, recognise specific …
individuals to experience anxiety-evoking stimuli in a safe environment, recognise specific …
A bert-based chatbot to support cancer treatment follow-up
The aftermath of primary cancer treatment presents a multitude of challenges for patients,
necessitating prolonged recovery periods that can span months or even years. Survivors …
necessitating prolonged recovery periods that can span months or even years. Survivors …
[HTML][HTML] iBUST: An intelligent behavioural trust model for securing industrial cyber-physical systems
To meet the demand of the world's largest population, smart manufacturing has accelerated
the adoption of smart factories—where autonomous and cooperative instruments across all …
the adoption of smart factories—where autonomous and cooperative instruments across all …