Medicine - Data processing.
Overview
Works: | 40 works in 27 publications in 27 languages |
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Titles
Data science and artificial intelligence for digital healthcare = communications technologies for epidemic models /
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Clinical applications of artificial intelligence in real-world data
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Computational biomechanics for medicine = towards automation and robustness of computations in the clinic /
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Intelligence-based medicine = artificial intelligence and human cognition in clinical medicine and healthcare /
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Computational learning approaches to data analytics in biomedical applications
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Stepped care and e-health = practical applications to behavioral disorders /
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Visualization in medicine : = theory, algorithms, and applications /
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Metadata-driven software systems in biomedicine = designing systems that can adapt to changing knowledge /
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Visualization in medicine = theory, algorithms, and applications /
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Methods in medical informatics = fundamentals of healthcare programming in Perl, Python, and Ruby /
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Computational methods in biophysics, biomaterials, biotechnology and medical systems = algorithm development, mathematical analysis, and diagnostics /
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Information-theoretic evaluation for computational biomedical ontologies
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Practical predictive analytics and decisioning systems formedicine = informatics accuracy and cost-effectiveness for healthcare administration and delivery including medical research /
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Distracted doctoring = returning to patient-centered care in the digital age /
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Big data in healthcare = extracting knowledge from point-of-care machines /
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Essential techniques for medical and life scientists = a guide to contemporary methods and current applications with the protocols.. Part 1 /
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Blogs and tweets, texting and friending = social media and online professionalism in health care /
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