Wearable bioelectronic sensors are often used for health monitoring but are typically limited
to a few physical or chemical parameters, which hinders their ability to provide a complete …

Abstract Background The application of Big Data analytics in healthcare has immense
potential for improving the quality of care, reducing waste and error, and reducing the cost of …

Abstract The Internet of Things (IoT) enabled various types of applications in the field of
information technology, smart and connected health care is notably a crucial one is one of …

Background Timely identification of patients at a high risk of clinical deterioration is key to
prioritizing care, allocating resources effectively, and preventing adverse outcomes. Vital …

Android has become the most popular mobile platform due to its openness and flexibility.
Meanwhile, it has also become the main target of massive mobile malware. This …

Big data analytics are gaining popularity in medical engineering and healthcare use cases.
Stakeholders are finding big data analytics reduce medical costs and personalise medical …

In recent years, the Internet of Things (IoT) has emerged as a new opportunity. Thus, all
devices such as smartphones, transportation facilities, public services, and home appliances …

Anticipation of clinical decompensation is essential for effective emergency and critical care.
In this study, we develop a multimodal machine learning approach to predict the onset of …

In the current scenario of the digital world, the healthcare industry generates a huge amount
of patient data. Manual handling of these produced data becomes very difficult for doctors …

Many machine learning techniques have been used in past few decades for various medical
applications. However, these techniques suffer from parameter tuning issue. Therefore, an …