Title :
The possibility of kohonen self-organizing map applications in medicine
Author_Institution :
Dept. of Circuit Theor., Czech Tech. Univ. in Prague, Prague, Czech Republic
Abstract :
In many instances, artificial neural networks (ANN) are used as interfaces between real situations with real data and machines or computers. Often, situations arise in which the real environment cannot be eliminated, among them data collection and medical data processing. This contribution deals with several medical domains in which ANNs prove to be a very good alternative to standard methods. The text of the contribution starts from a research project in which we cooperate with several medical facilities. At the centre of concern in our research orientation is improvement of diagnostics, and the ensuing improvement in the treatment of both children and adult patients suffering from diseases affecting social interaction. In all cases described, we apply one of the ANN methods, with particular attention given to alternatives to self-organizing maps (SOM).
Keywords :
diseases; medical computing; patient diagnosis; patient treatment; self-organising feature maps; ANN; Kohonen self-organizing map applications; SOM; adult patients; artificial neural networks; child patients; data collection; diagnostics improvement; diseases; medical data processing; medical domains; medical facilities; medicine; real environment; social interaction; treatment improvement; Artificial neural networks; Medical diagnostic imaging; Pediatrics; Speech; Speech processing; Vectors; KSOM; SSOM; biological data analysis; magnetic resonance method; pathological children speech; rehabilitation;
Conference_Titel :
Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM), 2013 IEEE 11th International Workshop of
Conference_Location :
Toulouse
DOI :
10.1109/ECMSM.2013.6648946