Search results for "Health data"

2019

Objective The aim of this study was to investigate participation and effectiveness of a multiyear comprehensive workplace health promotion (WHP) program. Methods Participation and effectiveness data came from employer and vendor systems. Health data came from health risk assessments (HRA) and biometric screenings. Participation and effectiveness were analyzed using descriptive analyses, t tests, and Mann-Whitney U tests where appropriate. Overall impact was assessed using the PIPE Impact Metric. Results Eighty-six percent of employees completed the HRA and 80% the biometrical screenings. Annual participation rate was 24%, and total reach was 58%. The portion of successful participants was 2…

Supporting Learning Activities in the Health Sector through Open Data

2015

The growing availability of Open Data for educational purposes is playing a key role in shaping and influencing the development of the learning processes. At the same time, Open Data have a particular potential in the health sector so that the major healthcare organizations, universities, colleges, and medical schools are in the process of creating high quality 'Open' education & training resources and tools. However, in this growing world of open health resources for educational purposes, the task of finding the right material can become very difficult mainly when using a general purpose search engine like google. Thus, to overcome this problem and facilitate the search and learning ac…

An Efficient Multi-Show Unlinkable Attribute Based Credential Scheme for a Collaborative E-Health Environment

2017

Modern electronic healthcare (e-health) systems constitute collaborative environments in which patients' private health data are shared across multiple domains. In such environments, patients' privacy can be violated through the linkability of different user access sessions over patient health data. Therefore, enforcing anonymous as well as multi-session unlinkable access for the users in e-health systems is of paramount importance. As a way of achieving this requirement, more emphasis has been given to anonymous attribute credentials, which allows a user to anonymously prove the ownership of a set of attributes to a verifier and thereby gain access to protected resources. Among the existin…

Facilitating text understanding for e-learning users

2014

Web information on different disciplines (mainly technical ones) is mainly created by the different experts (engineers, scientists, physicians, lawyers, etc.) who use their own 'technical' language. On the other hand, this information is often read by general users who do not have the same skills and vocabularies of the experts and have difficulties to understand and learn it. In order to allow e-learners to use any document available on the web and understand it, it is desirable to have a system that takes a text written with technical terms and automatically translates it in a plain language and provides additional information with the same kind of language. In this work we present the me…

Latent class models for multiple ordered categorical health data: testing violation of the local independence assumption

2019

Latent class models are now widely applied in health economics to analyse heterogeneity in multiple outcomes generated by subgroups of individuals who vary in unobservable characteristics, such as genetic information or latent traits. These models rely on the underlying assumption that associations between observed outcomes are due to their relationship to underlying subgroups, captured in these models by conditioning on a set of latent classes. This implies that outcomes are locally independent within a class. Local independence assumption, however, is sometimes violated in practical applications when there is uncaptured unobserved heterogeneity resulting in residual associations between c…