553 research outputs found

    The ATEN Framework for Creating the Realistic Synthetic Electronic Health Record

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    Realistic synthetic data are increasingly being recognized as solutions to lack of data or privacy concerns in healthcare and other domains, yet little effort has been expended in establishing a generic framework for characterizing, achieving and validating realism in Synthetic Data Generation (SDG). The objectives of this paper are to: (1) present a characterization of the concept of realism as it applies to synthetic data; and (2) present and demonstrate application of the generic ATEN Framework for achieving and validating realism for SDG. The characterization of realism is developed through insights obtained from analysis of the literature on SDG. The development of the generic methods for achieving and validating realism for synthetic data was achieved by using knowledge discovery in databases (KDD), data mining enhanced with concept analysis and identification of characteristic, and classification rules. Application of this framework is demonstrated by using the synthetic Electronic Healthcare Record (EHR) for the domain of midwifery. The knowledge discovery process improves and expedites the generation process; having a more complex and complete understanding of the knowledge required to create the synthetic data significantly reduce the number of generation iterations. The validation process shows similar efficiencies through using the knowledge discovered as the elements for assessing the generated synthetic data. Successful validation supports claims of success and resolves whether the synthetic data is a sufficient replacement for real data. The ATEN Framework supports the researcher in identifying the knowledge elements that need to be synthesized, as well as supporting claims of sufficient realism through the use of that knowledge in a structured approach to validation. When used for SDG, the ATEN Framework enables a complete analysis of source data for knowledge necessary for correct generation. The ATEN Framework ensures the researcher that the synthetic data being created is realistic enough for the replacement of real data for a given use-case

    An Integrated Physiological Model of the Lung Mechanics and Gas Exchange Using Electrical Impedance Tomography in the Analysis of Ventilation Strategies in ARDS Patients

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    Mouloud Denai, M. Mahfouf, A. Wang, D. A. Linkens, and G. H. Mills, 'An Integrated Physiological Model of the Lung Mechanics and Gas Exchange Using Electrical Impedance Tomography in the Analysis of Ventilation Strategies in ARDS Patients'. Paper presented at the 3rd International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2010), 20 - 23 January 2010, Valencia, Spain.Peer reviewedFinal Published versio

    Towards Interoperability in E-health Systems: a three-dimensional approach based on standards and semantics

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    Proceedings of: HEALTHINF 2009 (International Conference on Helath Informatics), Porto (Portugal), January 14-17, 2009, is part of BIOSTEC (Intemational Joint Conference on Biomedical Engineering Systems and Technologies)The interoperability problem in eHealth can only be addressed by mean of combining standards and technology. However, these alone do not suffice. An appropiate framework that articulates such combination is required. In this paper, we adopt a three-dimensional (information, conference and inference) approach for such framework, based on OWL as formal language for terminological and ontological health resources, SNOMED CT as lexical backbone for all such resources, and the standard CEN 13606 for representing EHRs. Based on tha framewok, we propose a novel form for creating and supporting networks of clinical terminologies. Additionally, we propose a number of software modules to semantically process and exploit EHRs, including NLP-based search and inference, wich can support medical applications in heterogeneous and distributed eHealth systems.This work has been funded as part of the Spanish nationally funded projects ISSE (FIT-350300-2007-75) and CISEP (FIT-350301-2007-18). We also acknowledge IST-2005-027595 EU project NeO

    Software Architectures and Efficient Data Sharing for Promoting Continuous Drug Re-purposing

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    The proposed layered and component based architectural style enables data sharing and accessibility of computational software components across problem domains in Biomedical Science. However, it also opens door to translational informatics, which bridges the gap between knowledge generated in biomedical science and clinical practices. Software applications generated from such an architectural style, are able to support continues drug repurposing. They exploit the semantic which exists, and is available across biomedical problem domains, between drug chemical compounds, their biological targets, particularly unintentional targets and drug therapeutic effects. The excerpt from the proposed software architectures has already been deployed in computationally light-weight software applications which based drug repurposing on reasoning upon collected available semantic. However a full scale implementation of the ideas of data sharing across the spectrum of biomedical research and disciplines, would require some changes in the way therapeutic drugs are discovered, tested and approved

    Force monitor for training manual skills in the training of chiropractors

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    As part of their training, students of Chiropractic Medicine at Zürich are trained to acquire and then improve their manual and manipulative skills, especially their ability to deliver manipulative thrusts with a defined preloading force, an impulse that is delivered with an adequate and reproducible force within a defined time without letting up on the preload-pressure. In order to facilitate this process, objective feedback is paramount. This led to the idea of developing a force-measurement and -monitoring system. The newly developed system consists of a wireless device with a force sensor and an app that is running on standard smartphones. The device records the force applied to the sensor and transmits it via Bluetooth Low Energy (BLE) to the app. There it is visualised as a graph and can be evaluated. The system allows us to provide all students with a tool to develop their manual skills, and especially their thrusting technique. As the feedback given by the system can be record ed, progress can be monitored and students can be mentored accurately according to their strengths and weaknesses
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