Colantonio S, Di Bono Mg, Salvetti O
I.5.2 Design Methodology I.5.1 Models I.4.8 Scene Analysis H.3.3 Information Search and Retrieval C.3 Special-Purpose and Application-Based Systems
A methodology to approach the automatic monitoring and prognosis of diseases evolution is proposed. We define a multilevel system architecture capable to process multi-source biomedical data according to a coarse-to-fine paradigm. An application regarding neuro-signals and image categorization is also considered as a case study. The proposed methodology even preliminary has shown to be a possible approach to prognosis activity, mainly if suitably integrated into a hybrid system for medical decision support.
@inproceedings{oai:it.cnr:prodotti:91185, title = {Disease evolution prognosis based on multi-source signals and image analysis}, author = {Colantonio S and Di Bono Mg and Salvetti O}, year = {2005} }