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@inproceedings{5279, author = {Berka, Petr and Jablonský, J. and Marek, Luboš and Vrabec, Michal}, address = {Switzerland}, booktitle = {Advances in Artificial Intelligence and Its Applications. 14th. Mexican Int. Conference on Artificial Intelligence}, doi = {http://dx.doi.org/10.1007/978-3-319-27101-9_23}, edition = {9414}, editor = {Lagunas, OP; Alcantara, OH; Figueroa, GA}, keywords = {Engineering controlled terms; Artificial intelligence; Decision trees; Neurosurgery; Patient monitoring; Patient treatment; Surgery; Trees (mathematics)}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Switzerland}, isbn = {978-3-319-27100-2}, note = {AR 2016/2017 - odesláno do RIV. (duben 2017) V RIVu vykázáno za VŠE, nikoliv za naší školu. Berka má afiliaci jak k VŠE tak i k VŠFS.}, pages = {310-321}, publisher = {Springer International Publishing}, title = {Analysis of Neurosurgery Data Using Statistical and Data Mining Methods}, year = {2015} }
TY - JOUR ID - 5279 AU - Berka, Petr - Jablonský, J. - Marek, Luboš - Vrabec, Michal PY - 2015 TI - Analysis of Neurosurgery Data Using Statistical and Data Mining Methods PB - Springer International Publishing CY - Switzerland SN - 9783319271002 N1 - AR 2016/2017 - odesláno do RIV. (duben 2017) V RIVu vykázáno za VŠE, nikoliv za naší školu. Berka má afiliaci jak k VŠE tak i k VŠFS. KW - Engineering controlled terms KW - Artificial intelligence KW - Decision trees KW - Neurosurgery KW - Patient monitoring KW - Patient treatment KW - Surgery KW - Trees (mathematics) N2 - The data concerning the outcomes of surgical clipping and endovascular treatment in acute aneurysmal subarachnoid hemorrhage (SAH) patients have been analyzed to reveal relations between subjective neuropsychological assessments, measurable characteristics of the patient and the disease, and the type of treatment the patient had undergone one year before. We build upon results of previous analyses where have been found that the differences in neuropsychological assessment of the patients treated by either coiling or clipping was small and slightly in favor of surgical group. Using this data, we compare the “classical” statistical and data mining approach. While statistics offers techniques based on contingency tables, where the compared variables have to be manually selected, data mining methods like association rules, decision rules or decision trees offer the possibility to generate and evaluate a number of more complex hypotheses about the hidden relationships. We used SAS JMP to perform the statistical analysis and LISp-Miner system for the data mining experiments. © Springer International Publishing Switzerland 2015. ER -
BERKA, Petr, J. JABLONSKÝ, Luboš MAREK and Michal VRABEC. Analysis of Neurosurgery Data Using Statistical and Data Mining Methods. In Lagunas, OP; Alcantara, OH; Figueroa, GA. \textit{Advances in Artificial Intelligence and Its Applications. 14th. Mexican Int. Conference on Artificial Intelligence}. 9414th ed. Switzerland: Springer International Publishing, 2015, p.~310-321. ISBN~978-3-319-27100-2. Available from: https://dx.doi.org/10.1007/978-3-319-27101-9\_{}23.
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