Analysis of data about epileptic patients using the GUHA method.
In this paper we search for hypotheses on association between the memory quotient and 13 clinical variables examined in a sample of 214 epilepsy patients. We introduce the General Unary Hypotheses Automaton (GUHA) method that automatically generates hypotheses from empirical data by means of computer procedures. Procedure ASSOC of the program GUHA generates and evaluates the hypotheses on symmetrical association or asymmetrical association using quantifiers. The most used symmetrical and asymmetrical quantifiers of the ASSOC procedure are introduced. Data analysis on epileptic patients using the GUHA method is done and the results are presented. We propose a new interpretation of the results including a graphical presentation.
Zvárová
J
J
European Center for Medical Informatics, Statistics and Epidemiology, Charles University and Academy of Sciences, Progue, Czech Republic.
Preiss
J
J
Sochorová
A
A
D017668:Age of Onset; D000465:Algorithms; D001927:Brain Diseases / Q000453:epidemiology; D016009:Chi-Square Distribution; D003196:Computer Graphics; D003627:Data Interpretation, Statistical; D019992:Databases as Topic; D004522:Educational Status; D004827:Epilepsy / Q000453:epidemiology* / Q000503:physiopathology; D004830:Epilepsy, Tonic-Clonic / Q000453:epidemiology; D005260:Female; D006801:Humans; D008297:Male; D008491:Medical Informatics Applications; D008568:Memory / Q000502:physiology; D008569:Memory Disorders / Q000453:epidemiology; D012984:Software