[HTML][HTML] Developments, application, and performance of artificial intelligence in dentistry–A systematic review
SB Khanagar, A Al-Ehaideb, PC Maganur… - Journal of dental …, 2021 - Elsevier
Background/purpose Artificial intelligence (AI) has made deep inroads into dentistry in the
last few years. The aim of this systematic review was to identify the development of AI …
last few years. The aim of this systematic review was to identify the development of AI …
A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans
Stress is the most prevailing and global psychological condition that inevitably disrupts the
mood and behavior of individuals. Chronic stress may gravely affect the physical, mental …
mood and behavior of individuals. Chronic stress may gravely affect the physical, mental …
Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—Case Studies
Abstract To apply Artificial Intelligence (AI), Machine Learning (ML) and Machine Reasoning
(MR) in health informatics are often challenging as they comprise with multivariate …
(MR) in health informatics are often challenging as they comprise with multivariate …
Automatic driver sleepiness detection using EEG, EOG and contextual information
The many vehicle crashes that are caused by driver sleepiness each year advocates the
development of automated driver sleepiness detection (ADSD) systems. This study …
development of automated driver sleepiness detection (ADSD) systems. This study …
Case-based reasoning systems in the health sciences: a survey of recent trends and developments
The health sciences are, nowadays, one of the major application areas for case-based
reasoning (CBR). The paper presents a survey of recent medical CBR systems based on a …
reasoning (CBR). The paper presents a survey of recent medical CBR systems based on a …
Cognitive training and stress detection in mci frail older people through wearable sensors and machine learning
F Delmastro, F Di Martino, C Dolciotti - Ieee Access, 2020 - ieeexplore.ieee.org
Personalised training of motor and cognitive abilities is fundamental to help older people
maintain a good quality of life, especially in case of frailty conditions. However, the training …
maintain a good quality of life, especially in case of frailty conditions. However, the training …
A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis
Objective Case-based reasoning (CBR) is a problem-solving paradigm that uses past
knowledge to interpret or solve new problems. It is suitable for experience-based and theory …
knowledge to interpret or solve new problems. It is suitable for experience-based and theory …
[HTML][HTML] A case-based reasoning framework for early detection and diagnosis of novel coronavirus
ON Oyelade, AE Ezugwu - Informatics in Medicine Unlocked, 2020 - Elsevier
Coronavirus, also known as COVID-19, has been declared a pandemic by the World Health
Organization (WHO). At the time of conducting this study, it had recorded over 11,301,850 …
Organization (WHO). At the time of conducting this study, it had recorded over 11,301,850 …
Hybrid reasoning-based privacy-aware disease prediction support system
Recent developments in Information and Communication Technologies (ICT) and online
healthcare services have created a huge volume of health data. With the advancements in …
healthcare services have created a huge volume of health data. With the advancements in …
Health risk assessment and decision-making for patient monitoring and decision-support using wireless body sensor networks
This paper proposes a generalized multi-sensor fusion approach and a health risk
assessment and decision-making (Health-RAD) algorithm for continuous and remote patient …
assessment and decision-making (Health-RAD) algorithm for continuous and remote patient …