Data provenance means recording data origins and the history of data generation and
processing. In healthcare, data provenance is one of the essential processes that make it …

Aims: This article aims to perform a Systematic Literature Review (SLR) to better understand
the structures of different methods, techniques, models, methodologies, and technologies …

Mobile health (mHealth) is playing a key role in facilitating health services for patients. Such
services may include remote diagnostics and monitoring, chronic conditions management …

Writer identification is the task of determining the author of a sample handwriting from a set
of writers. In this paper, we propose Gaussian mixture models (GMMs) to address the task of …

Abstract Internet of Things (IoT) can be employed in various applications like agriculture,
disaster relief operations, smart and connected health care, this paper presents a healthcare …

Background In the past decade, electronic modalities are increasingly deployed to integrate
patient-reported outcomes into electronic health records. Most popularly, patient portals are …

In this paper, we review the technological bases of mobile health (mHealth). First, we derive
a component-based mHealth architecture prototype from an Institute of Electrical and …

Recent trends indicate a steady rise in cyber attacks targeting the healthcare industry and
patient data. Security is one of the most vital requirements for any device that utilizes …

Recent developments of smart phone and ICT, and explosive developments of wireless
sensor area drive radical changes on traditional health care service. To accommodate the …

Clinical Decision Support Systems (CDSS) were explicitly introduced in the 90's with the aim
of providing knowledge to clinicians in order to influence its decisions and, therefore …