Search results for "Information System"
showing 10 items of 2404 documents
A holistic framework for understanding acceptance of remote patient management (RPM) systems by non-professional users
2010
The successful integration of Information and Communication Technologies (ICT) in healthcare facilitates the use of the sophisticated medical equipment and computer applications by medical practitioners. If earlier medical systems were mainly used by the health professionals (e.g. medical staff or nurses), nowadays with the appearance of Internet health systems are becoming available to the broader user groups, particularly patients and their families. eHealth has become an active research and development area within healthcare industry. Another important tendency in the development of ICT for health is a shift from “hospital-centered” to “person-centered” health systems which can enable ma…
The EU-project United4Health: User-centred design of an information system for a Norwegian telemedicine service.
2015
Introduction Organizational changes of health care services in Norway brought to light a need for new clinical pathways. This study presents the design and evaluation of an information system for a new telemedicine service for chronic obstructive pulmonary disease patients after hospital discharge. Methods A user-centred design approach was employed composed of a workshop with end-users, two user tests and a field trial. For data collection, qualitative methods such as observations, semi-structured interviews and a questionnaire were used. Results User workshop’s outcome informed the implementation of the system initial prototype, evaluated by end-users in a usability laboratory. Several us…
Social capital in enabling quality health care: The case of a telemedicine project in Nepal
2018
Information and Communication Technology (ICT) can play a crucial role in meeting multifaceted developmental challenges such as providing access to quality health care in developing countries. Init ...
Dirección de tesis doctorales como reflejo de la Biblioteconomía y Documentación académica española: actores y temas
2020
Doctoral dissertations enable the transfer of research skills and capacities to future generations and the consolidation of lines of research in a given area of knowledge. The field of Library and Information Science in public universities in Spain is characterized by the supervision of doctoral theses by academics in the area. We identified active professors during the 2019–2020 academic year, their date of appointment as civil servants within the public university system, the dissertations that they supervised, and their participation in papers published in scientific journals. The analysis included 644 theses. About a quarter (23%) of university faculty have never supervised a doctoral t…
Industrial Scaled Automated Structural Testing with the Evolutionary Testing Tool
2010
Evolutionary testing has been researched and promising results have been presented. However, evolutionary testing has remained predominately a research-based activity not practiced within industry. Although attempts have been made, such as Daimler's Evolutionary Structural Test (EST) prototype, until now, no such tool has been suitable for industrial adoption. The European project EvoTest (IST-33472) team has been working from 2006 till2009 to improve this situation. This paper describes the final version of the Evolutionary Testing Framework (ETF) resulting from the EvoTest project. In specific we will present the EvoTest Structural Testing tool for fully automatic structural testing that …
Analysis and Comparison of Deep Learning Networks for Supporting Sentiment Mining in Text Corpora
2020
In this paper, we tackle the problem of the irony and sarcasm detection for the Italian language to contribute to the enrichment of the sentiment analysis field. We analyze and compare five deep-learning systems. Results show the high suitability of such systems to face the problem by achieving 93% of F1-Score in the best case. Furthermore, we briefly analyze the model architectures in order to choose the best compromise between performances and complexity.
Cost-driven framework for progressive compression of textured meshes
2019
International audience; Recent advances in digitization of geometry and radiometry generate in routine massive amounts of surface meshes with texture or color attributes. This large amount of data can be compressed using a progressive approach which provides at decoding low complexity levels of details (LoDs) that are continuously refined until retrieving the original model. The goal of such a progressive mesh compression algorithm is to improve the overall quality of the transmission for the user, by optimizing the rate-distortion trade-off. In this paper, we introduce a novel meaningful measure for the cost of a progressive transmission of a textured mesh by observing that the rate-distor…
Graph Clustering with Local Density-Cut
2018
In this paper, we introduce a new graph clustering algorithm, called Dcut. The basic idea is to envision the graph clustering as a local density-cut problem. To identify meaningful communities in a graph, a density-connected tree is first constructed in a local fashion. Building upon the local intuitive density-connected tree, Dcut allows partitioning a graph into multiple densely tight-knit clusters effectively and efficiently. We have demonstrated that our method has several attractive benefits: (a) Dcut provides an intuitive criterion to evaluate the goodness of a graph clustering in a more precise way; (b) Building upon the density-connected tree, Dcut allows identifying high-quality cl…
On the impact of forgetting on learning machines
1995
People tend not to have perfect memories when it comes to learning, or to anything else for that matter. Most formal studies of learning, however, assume a perfect memory. Some approaches have restricted the number of items that could be retained. We introduce a complexity theoretic accounting of memory utilization by learning machines. In our new model, memory is measured in bits as a function of the size of the input. There is a hierarchy of learnability based on increasing memory allotment. The lower bound results are proved using an unusual combination of pumping and mutual recursion theorem arguments. For technical reasons, it was necessary to consider two types of memory : long and sh…
A solution to the stochastic point location problem in metalevel nonstationary environments.
2008
This paper reports the first known solution to the stochastic point location (SPL) problem when the environment is nonstationary. The SPL problem involves a general learning problem in which the learning mechanism (which could be a robot, a learning automaton, or, in general, an algorithm) attempts to learn a "parameter," for example, lambda*, within a closed interval. However, unlike the earlier reported results, we consider the scenario when the learning is to be done in a nonstationary setting. For each guess, the environment essentially informs the mechanism, possibly erroneously (i.e., with probability p), which way it should move to reach the unknown point. Unlike the results availabl…