TY - JOUR
T1 - A predictive tool by fuzzy logic for outcome of patients with intracranial aneurysm
AU - Hatiboglu, Mustafa Aziz
AU - Altunkaynak, Abdusselam
AU - Ozger, Mehmet
AU - Iplikcioglu, Ahmet Celal
AU - Cosar, Murat
AU - Turgut, Namigar
PY - 2010/3
Y1 - 2010/3
N2 - We aimed to investigate if the outcome of the patients with intracranial aneurysm could be predicted by fuzzy logic approach. Two hundred and forty two patients with the diagnosis of intracranial aneurysm were assessed retrospectively between January 2001 and December 2005. We recorded World Federation of Neurological Surgeons Scale (WFNSS), Fisher Scale and age at admission and Glasgow Outcome Score (GOS) at discharge from hospitalization for all the patients. We developed fuzzy sets by dividing WFNSS into four groups as good, fair, bad and very bad; age into three groups as young, middle and old; Fisher scale into three groups as few, moderate and large; outcome score into four groups as bad, fair, good and very good. We calculated the outcome of the patient with these sets by fuzzy model. Predicted outcome by fuzzy logic approach correlated with observed outcome scores of the patients (p > 0, 05), including 95% confidence interval. We showed that outcome of the patients with aneurysm can be predicted by fuzzy logic approach, accurately.
AB - We aimed to investigate if the outcome of the patients with intracranial aneurysm could be predicted by fuzzy logic approach. Two hundred and forty two patients with the diagnosis of intracranial aneurysm were assessed retrospectively between January 2001 and December 2005. We recorded World Federation of Neurological Surgeons Scale (WFNSS), Fisher Scale and age at admission and Glasgow Outcome Score (GOS) at discharge from hospitalization for all the patients. We developed fuzzy sets by dividing WFNSS into four groups as good, fair, bad and very bad; age into three groups as young, middle and old; Fisher scale into three groups as few, moderate and large; outcome score into four groups as bad, fair, good and very good. We calculated the outcome of the patient with these sets by fuzzy model. Predicted outcome by fuzzy logic approach correlated with observed outcome scores of the patients (p > 0, 05), including 95% confidence interval. We showed that outcome of the patients with aneurysm can be predicted by fuzzy logic approach, accurately.
KW - Fisher scale
KW - Fuzzy logic
KW - Intracranial aneurysm
KW - Outcome score
KW - Prediction
UR - http://www.scopus.com/inward/record.url?scp=71749094709&partnerID=8YFLogxK
U2 - 10.1016/j.eswa.2009.06.072
DO - 10.1016/j.eswa.2009.06.072
M3 - Article
AN - SCOPUS:71749094709
SN - 0957-4174
VL - 37
SP - 1043
EP - 1049
JO - Expert Systems with Applications
JF - Expert Systems with Applications
IS - 2
ER -