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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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