Advances in Biomedical Infrastructure 2013
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Current Biomedical Databases are independently administered in geographically distinct locations, lending them almost ideally to adoption of intelligent data management approaches. This book focuses on research issues, problems and opportunities in Biomedical Data Infrastructure identifying new issues and directions for future research in Biomedical Data and Information Retrieval, Semantics in Biomedicine, and Biomedical Data Modeling and Analysis. The book will be a useful guide for researchers, practitioners, and graduate-level students interested in learning state-of-the-art development in biomedical data management.
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Kuznetsova, I.; Lugmayr, Artur; Holzinger, A. (2017)© 2017 International Ambient Media Association (iAMEA). All rights reserved. The sheer amount of high dimensional biomedical data requires machine learning, and advanced data visualization techniques to make the data ...
Kuznetsova, I.; Lugmayr, Artur; Holzinger, A. (2017)The sheer amount of high dimensional biomedical data requires machine learning, and advanced data visualization techniques to make the data understandable for human experts. Most biomedical data today is in arbitrary high ...
People with low back pain perceive needs for non-biomedical services in workplace, financial, social and household domains: a systematic reviewChou, L.; Cicuttini, F.; Urquhart, D.; Anthony, S.; Sullivan, K.; Seneviwickrama, M.; Briggs, Andrew; Wluka, A. (2018)Question: What needs of non-biomedical services are perceived by people with low back pain? Design: Systematic review of qualitative and quantitative studies examining perceived needs of non-biomedical services for low ...