Predicting 10-day Mortality in Patients with Strokes Using Neural Networks and Multivariate Statistical Methods
Conclusions: Training and test performances yielded different results for ischemic and hemorrhagic groups. MLP method was most successful for the training phase, whereas LRA and MDA methods were successful for the test phase. In the hemorrhagic group, higher prediction performances were achieved for both training and testing phases.
Source: Journal of Stroke and Cerebrovascular Diseases - Category: Neurology Authors: Güner Çelik, Ömer K. Baykan, Yakup Kara, Hülya Tireli Tags: Original Articles Source Type: research
More News: Hemorrhagic Stroke | Ischemic Stroke | Neurology | Statistics | Stroke | Study | Training | Universities & Medical Training