Background: This is the first scoping review to focus broadly on the topics of machine
learning and medication adherence. Objective: This review aims to categorize, summarize …

Wearable devices, or wearables, designed to be attached to the human body, can gather
personalized real-time data and continuously monitor an individual's health status and …

Gas turbine combustion chambers work in highly adverse environment and thus malfunction
more easily compared to other components. Fault detection of gas turbine combustion …

This paper proposes an intelligent medicine recognition system based on deep learning
techniques, named ST-Med-Box. The proposed system can assist chronic patients in taking …

The world is facing major societal challenges because of an aging population that is putting
increasing pressure on the sustainability of care. While demand for care and social services …

Poor Medication adherence causes significant economic impact resulting in hospital
readmission, hospital visits and other healthcare costs. The authors developed a smartwatch …

Crop and weeds identification is of important steps towards the development of efficient
automotive weed control systems. The higher the accuracy of plant detection and …

The dynamic field of the Internet of Things (IoT) is constantly increasing, providing a plethora
of potential integration across various sectors, most notably healthcare. The IoT represents a …

The internet of things (IoT) and deep learning are emerging technologies in diverse
research fields, including the provision of IT services in medical domains. In the COVID-19 …

As many as 40% to 50% of patients do not adhere to long-term medications for managing
chronic conditions, such as diabetes or hypertension. Limited opportunity for medication …