Search results for " Health data"
showing 3 items of 3 documents
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…
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…