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[HTML][HTML] The Internet of Things (IoT) in healthcare: Taking stock and moving forward
Recent improvements in the Internet of Things (IoT) have allowed healthcare to evolve
rapidly. This article summarizes previous studies on IoT applications in healthcare. A …
rapidly. This article summarizes previous studies on IoT applications in healthcare. A …
Current challenges and future opportunities for XAI in machine learning-based clinical decision support systems: a systematic review
Machine Learning and Artificial Intelligence (AI) more broadly have great immediate and
future potential for transforming almost all aspects of medicine. However, in many …
future potential for transforming almost all aspects of medicine. However, in many …
Automated plant leaf disease detection and classification using optimal MobileNet based convolutional neural networks
Agriculture is the major occupation in India and it loses 35% of the crop productivity annually
owing to plant diseases. Earlier plant disease detection is a tedious process because of …
owing to plant diseases. Earlier plant disease detection is a tedious process because of …
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions
Hospitals use medical cyber-physical systems (MCPS) more often to give patients quality
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
Deep learning based capsule neural network model for breast cancer diagnosis using mammogram images
Breast cancer is a commonly occurring disease in women all over the world. Mammogram is
an efficient technique used for screening and identification of abnormalities over the breast …
an efficient technique used for screening and identification of abnormalities over the breast …
Mobile health in remote patient monitoring for chronic diseases: Principles, trends, and challenges
Chronic diseases are becoming more widespread. Treatment and monitoring of these
diseases require going to hospitals frequently, which increases the burdens of hospitals and …
diseases require going to hospitals frequently, which increases the burdens of hospitals and …
Intelligent video anomaly detection and classification using faster RCNN with deep reinforcement learning model
Recently, intelligent video surveillance applications have become essential in public
security by the use of computer vision technologies to investigate and understand long video …
security by the use of computer vision technologies to investigate and understand long video …
A comprehensive review on blockchain and Internet of Things in healthcare
Blockchain Technology, the fundamental technology behind Bitcoin, has drawn
considerable recognition ever since its origin. Its potential has gained significant interest in …
considerable recognition ever since its origin. Its potential has gained significant interest in …
A new machine learning-based healthcare monitoring model for student's condition diagnosis in Internet of Things environment
Advancement in sensor technologies has resulted in rapid evolution of Internet of Things
(IoT) applications for develo** behavioral and physiological monitoring systems such as …
(IoT) applications for develo** behavioral and physiological monitoring systems such as …
Comprehensive performance assessment of deep learning models in early prediction and risk identification of chronic kidney disease
The incidence of chronic kidney disease (CKD) is rising rapidly around the globe.
Asymptomatic CKD is common and guideline-directed monitoring to predict CKD by various …
Asymptomatic CKD is common and guideline-directed monitoring to predict CKD by various …