A Multiple change-point detection framework on linguistic characteristics of real versus fake news articles.

Extracting information from textual data of news articles has been proven to be significant in developing efficient fake news detection systems. Pointedly, to fight disinformation, researchers concentrated on extracting information which focuses on exploiting linguistic characteristics that are common in fake news and can aid in detecting false content automatically. Even though these approaches were proven to have high performance, the research community proved that both the language as well as the word use in literature are evolving. Therefore, the objective of this paper is to explore the linguistic characteristics of fake news and real ones over time. To achieve this, we establish a large dataset containing linguistic characteristics of various articles over the years. In addition, we introduce a novel framework where the articles are classified in specified topics based on their content and the most informative linguistic features are extracted using dimensionality reduction methods. Eventually, the framework detects the changes of the extracted linguistic features on real and fake news articles over the time incorporating a novel change-point detection method. By employing our framework for the established dataset, we noticed that the linguistic characteristics which concern the article's title seem to be significantly important in capturing important movements in the similarity level of "Fake" and "Real" articles.

Telerehabilitation Solution Conceptual Paper for Community-Based Exercise Rehabilitation of Patients Discharged After Critical Illness.

A novel service oriented platform has been developed under the framework of the Telerehabilitation Service funded by the Cross Border Cooperation Programme Greece Cyprus 2007 - 2013 to support tele-supervised exercise rehabilitation for patients after hospitalization in intensive care units (ICU). The platform enables multiparty, interregional bidirectional audio/visual communication between clinical practitioners and post-ICU patients. It also enables patient group-based vital sign real time monitoring, patients' clinical record bookkeeping, and individualized and group-based patient online exercise programs. The exercise programs intended for the service are based on successful cardiorespiratory rehabilitation programs, individualized and monitored by a multidisciplinary team. The eligibility study of former ICU patients to participate in such a service as well as a cost benefit analysis are presented to support the cost effectiveness of the telerehabilitation program in addition to the expected health benefits to a large proportion of former ICU patients.

Intensive care window: real-time monitoring and analysis in the intensive care environment.

This paper introduces a novel, open-source middleware framework for communication with medical devices and an application using the middleware named intensive care window (ICW). The middleware enables communication with intensive care unit bedside-installed medical devices over standard and proprietary communication protocol stacks. The ICW application facilitates the acquisition of vital signs and physiological parameters exported from patient-attached medical devices and sensors. Moreover, ICW provides runtime and post-analysis procedures for data annotation, data visualization, data query, and analysis. The ICW application can be deployed as a stand-alone solution or in conjunction with existing clinical information systems providing a holistic solution to inpatient medical condition monitoring, early diagnosis, and prognosis.

Data privacy considerations in Intensive Care Grids.

Novel eHealth systems are being designed to provide a citizen-centered health system, however the even demanding need for computing and data resources has required the adoption of Grid technologies. In most of the cases, this novel Health Grid requires not only conveying patient's personal data through public networks, but also storing it into shared resources out of the hospital premises. These features introduce new security concerns, in particular related with privacy. In this paper we survey current legal and technological approaches that have been taken to protect a patient's personal data into eHealth systems, with a particular focus in Intensive Care Grids. However, thanks to a security analysis applied over the Intensive Care Grid system (ICGrid) we show that these security mechanisms are not enough to provide a comprehensive solution, mainly because the data-at-rest is still vulnerable to attacks coming from untrusted Storage Elements where an attacker may directly access them. To cope with these issues, we propose a new privacy-oriented protocol which uses a combination of encryption and fragmentation to improve data's assurance while keeping compatibility with current legislations and Health Grid security mechanisms.

ICGrid: enabling intensive care medical research on the EGEE Grid.

Healthcare Information Systems are nowadays among the world's largest, fastest-growing and most information intensive industries. Additionally, Intensive Care Units are widely considered as the most technologically advanced environments within a hospital. In such environments, physicians are confronted with the challenge of storing and analyzing terabytes of data that stream in real-time from inpatients to centralized clinical information systems. In this paper we present the system architecture and early experiences from ICGrid (Intensive Care Grid), a novel system framework that enables the seamless integration, correlation and retrieval of clinically interesting episodes across Intensive Care Units, by utilizing the EGEE infrastructure. ICGrid is based on a hybrid architecture that combines i) a heterogeneous set of monitors that sense the inpatients and ii) Grid technology that enables the storage, processing and information sharing task between Intensive Care Units. ICGrid makes it feasible for doctors to utilize the EGEE Infrastructure through simple, intuitive user interfaces, while the infrastructure itself handles the complex task of information replication, fault tolerance and sharing.