Themes of Interest
- Medical/biomedical and molecular image analysis and understanding
- Computational systems biology and medicine
- Computational psychology and physiology
- Computational neuroscience
- Bio-sensing
- Bio-signals
- e-Health
Topics include, but not limited to, the following:
Image analysis, computer vision, pattern analysis and classification, information visualization, signal processing, control theory, information theory, statistical analysis, information fusion, numerical analysis, fractals and chaos, biologically-inspired techniques, optimization, simulation and modeling, parallel computing, computational intelligence methods, machine learning, data mining, decision support systems, database integration and management.
Monday, 11 February 2013
International Symposium on Computational Models for Life Sciences
Call for Papers to the International Symposium on Computational Models for Life Sciences: CMLS 2013
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Diagnosing Singular Fits in Linear Mixed Models: Practical Examples, Code, and Alternatives
Introduction This post is the practical follow‑up to When Linear Mixed Models Don’t Converge , where I discussed the theoretical reasons w...
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The modified Rankin Scale (mRS) and the Barthel Index (BI) are the most common clinimetrical instruments for measuring disability after s...
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