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Download E-Health Across Borders Without Boundaries: E-salus Trans by Lacramioara Stoicu-Tivadar, Bernd Blobel, Tomaz Marcun, PDF

By Lacramioara Stoicu-Tivadar, Bernd Blobel, Tomaz Marcun, Andrej Orel

So one can in attaining and continue cross-border interoperability of digital well-being documents platforms, it is important to control the continual means of switch and version of many components inside of and throughout digital infrastructures in neighboring nations. This quantity provides the complaints of the eleventh EFMI exact subject convention entitled ''e-Health throughout Borders with no Boundaries,'' held in Lasko, Slovenia, in April 2011. either the convention and the contents of this e-book spotlight health-related conversation and collaboration at local, nationwide and overseas point. in addition to 21 conscientiously reviewed papers from experts within the box, the e-book additionally includes rigorously chosen Ph.D. papers, within the culture of encouraging younger scientists to take part and current beneficial paintings. the themes coated comprise inter-regional health and wellbeing details platforms and purposes, cross-border e-health initiatives and platforms, multi language and cultural concerns in e-health platforms and overseas standardization and evaluate of e-health platforms, and tackle features akin to wisdom illustration, sufferer empowerment, social care and cross-border interoperability. This publication offers a entire, in-depth evaluate and first-hand info on new advancements, complex structures, applied sciences and functions. Its interdisciplinary nature capacity will probably be of curiosity to quite a lot of execs, together with healthiness informatics scientists and scientific computing and know-how experts, these at once thinking about the availability of healthcare, public well-being, medical insurance and institutional directors and representatives of and consultancy in quite a few overall healthiness fields.IOS Press is a world technological know-how, technical and scientific writer of fine quality books for teachers, scientists, and execs in all fields. a few of the components we submit in: -Biomedicine -Oncology -Artificial intelligence -Databases and data structures -Maritime engineering -Nanotechnology -Geoengineering -All features of physics -E-governance -E-commerce -The wisdom economic climate -Urban reviews -Arms regulate -Understanding and responding to terrorism -Medical informatics -Computer Sciences

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Additional info for E-Health Across Borders Without Boundaries: E-salus Trans Confinia Sine Finibus; Proceedings of the ERMI Special Topic Conference 14-15 April 2011 Lasko, Slovenia

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Representing any system, the GCM also allows for managing language systems and ontologies. By that way, the motto of this conference is realistically. Existing standards such as ISO 10746 [13] or IEEE 1471 [14], they can be easily and comprehensively represented by the GCM as well. The integration of different domains as well as adaptive and intelligent behavior of ubiquitous and personalized health services require ontology management and coordination as well as autonomic computing based on artificial intelligence (AI) approaches.

Recorded puffs are processed using Continuous Wavelet Transform and used to extract time–frequency features for normal and abnormal puffs conditions. The wavelet energy distributions are used as inputs to classifiers based on Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Genetic Algorithms (GAs). The number and the parameters of Membership Functions are used in ANFIS along with the features from wavelet energy distributionare selected using GAs, maximising the diagnosis success. GA with ANFIS (GANFIS) are trained with a subset of data with known nicotine conditions.

Avdagic / Detection of Nicotine Content Impact in Tobacco Manufacturing input feature and the different puff states corresponding to one test dataset. 0). The number of membership function selected by GA was 3. 000 6. Conclusion This paper presented a new application of the GANFIS model for the detection of nicotine impact in different types of cigarettes, using recorded data and Computational Intelligence techniques. Recorded puffs are processed using Continuous Wavelet Transform and used to extract time–frequency features for normal and abnormal puffs conditions.

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