Publications by authors named "M Giovanna Cuzzoni"
Article Synopsis
- Fabry disease (FD) is a rare genetic disorder linked to strokes, and there's ongoing debate about when to test for it in stroke patients.
- This study, part of the Fabry-Stroke Italian Registry, screened nearly 1,906 stroke patients for FD by checking alpha-galactosidase A activity and conducting genetic tests, identifying a small number of affected individuals.
- The findings suggest that limiting FD screening only to cryptogenic strokes could miss a significant number of cases, highlighting the importance of recognizing clinical signs that may indicate the need for testing.
Article Synopsis
- * This study evaluated various ML algorithms—Artificial Neural Networks (ANN), Support Vector Machine (SVM), and Adaptive Neuro-Fuzzy Inference System (ANFIS)—to effectively classify AD and VD using MRI data from 60 subjects.
- * ANFIS proved to be the most effective at distinguishing between AD and VD, achieving over 84% classification accuracy, and successfully predicted disease prevalence in patients with mixed profiles, reaching a prediction accuracy of 77.33%.
The aim of this study was to characterize the driving behavior of a sample of patients with dementia. Demographic and clinical characteristics and parameters considered to be the most significant predictors of driving ability were collected. Of the total 198 patients enrolled, 172 were still driving.
View Article and Find Full Text PDFPatients suffering from headache are usually asked to use charts to allow monitoring of their disease. These diaries, providing they are regularly filled in, become crucial in the diagnosis and management of headache disorders because they provide further information on attack frequency and temporal pattern, drug intake, trigger factors, and short-/long-term responses to treatment. Electronic tools could facilitate diary monitoring and thus the management of headaches.
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