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Fuzzy cognitive map based approach for determining the risk of ischemic stroke
In this study, the soft computing method known as fuzzy cognitive mapping was proposed for diagnosis of the risk of ischemic stroke. Non-linear Hebbian learning method was used for fuzzy cognitive maps training. In the proposed method, the risk rate for each person was determined based on the opinions of the neurologists. The accuracy of the proposed model was tested using 10-fold cross-validation, for 110 real cases, and the results were compared with those of support vector machine and K-nearest neighbours. The proposed system showed a superior performance with a total accuracy of (93.6 ± 4.5)%. The da...
Source: IET Systems Biology - November 29, 2019 Category: Biology Source Type: research

Envisioning the neuroprotective effect of Metformin in experimental epilepsy: A portrait of molecular crosstalk
Publication date: 15 September 2019Source: Life Sciences, Volume 233Author(s): Nandini H S, Yam Nath Paudel, Krishna K LAbstractEpilepsy is a neurological disorder characterized by an enduring predisposition to generate and aggravate epileptic seizures affecting around 1% of global population making it a serious health concern. Despite the recent advances in epilepsy research, no disease-modifying treatment able to terminate epileptogenesis have been reported yet reflecting the complexity in understanding the disease pathogenesis. To overcome the current treatment gap against epilepsy, one effective approach is to explore ...
Source: Life Sciences - August 8, 2019 Category: Biology Source Type: research