Biology – Quantitative Biology – Quantitative Methods
Scientific paper
2011-11-28
Biology
Quantitative Biology
Quantitative Methods
9 pages, 3 figures, submitted and accepted in Damor2012 conference: http://www.uninova.pt/damor2012/index.php?page=authors
Scientific paper
Modern epidemiology integrates knowledge from heterogeneous collections of data consisting of numerical, descriptive and imaging. Large-scale epidemiological studies use sophisticated statistical analysis, mathematical models using differential equations and versatile analytic tools that handle numerical data. In contrast, knowledge extraction from images and descriptive information in the form of text and diagrams remain a challenge for most fields, in particular, for diseases of the eye. In this article we provide a roadmap towards extraction of knowledge from text and images with focus on forthcoming applications to epidemiological investigation of retinal diseases, especially from existing massive heterogeneous collections of data distributed around the globe.
Ardalan Alireza A.
Assadi Amir H.
Eghbalnia Hamid
Lambe Larry
Sangari Arash
No associations
LandOfFree
Mathematical Analysis and Computational Integration of Massive Heterogeneous Data from the Human Retina does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Mathematical Analysis and Computational Integration of Massive Heterogeneous Data from the Human Retina, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Mathematical Analysis and Computational Integration of Massive Heterogeneous Data from the Human Retina will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-13365