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@article{1084000,
author = {Amato, Filippo and López Rodríguez, Alberto and PeñaandMéndez, Eladia María and Vaňhara, Petr and Hampl, Aleš and Havel, Josef},
doi = {http://dx.doi.org/10.2478/v10136-012-0031-x},
keywords = {medical diagnosis; artificial intelligence; artificial neural networks; cancer; cardiovascular diseases; diabetes},
language = {eng},
publisher = {University of South Bohemia},
title = {Artificial neural networks in medical diagnosis},
url = {http://www.zsf.jcu.cz/jab/11_2/havel11_2.htm},
year = {2013}
}
TY - JOUR
ID - 1084000
AU - Amato, Filippo - López Rodríguez, Alberto - Peña-Méndez, Eladia María - Vaňhara, Petr - Hampl, Aleš - Havel, Josef
PY - 2013
TI - Artificial neural networks in medical diagnosis
PB - University of South Bohemia
KW - medical diagnosis
KW - artificial intelligence
KW - artificial neural networks
KW - cancer
KW - cardiovascular diseases
KW - diabetes
UR - http://www.zsf.jcu.cz/jab/11_2/havel11_2.htm
N2 - An extensive amount of information is currently available to clinical specialists, ranging from details of clinical symptoms to various types of biochemical data and outputs of imaging devices. Each type of data provides information that must be evaluated and assigned to a particular pathology during the diagnostic process. To streamline the diagnostic process in daily routine and avoid misdiagnosis, artificial intelligence methods (especially computer aided diagnosis and artificial neural networks) can be employed. These adaptive learning algorithms can handle diverse types of medical data and integrate them into categorized outputs. In this paper, we briefly review and discuss the philosophy, capabilities, and limitations of artificial neural networks in medical diagnosis through selected examples.
ER -
AMATO, Filippo, Alberto LÓPEZ RODRÍGUEZ, Eladia María PEÑA-MÉNDEZ, Petr VAŇHARA, Aleš HAMPL a Josef HAVEL. \textit{Artificial neural networks in medical diagnosis}. University of South Bohemia, 2013, 12 s. ISSN~1214-021X. Dostupné z: https://dx.doi.org/10.2478/v10136-012-0031-x.
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