Prediction of second neurological attack in patients with clinically isolated syndrome using support vector machines

The aim of this study is to predict the conversion from clinically isolated syndrome to clinically definite multiple sclerosis using support vector machines. The two groups of converters and non-converters are classified using features that were calculated from baseline data of 73 patients. The data consists of standard magnetic resonance images, binary lesion masks, and clinical and demographic information. 15 features were calculated and all combinations of them were iteratively tested for their predictive capacity using polynomial kernels and radial basis functions with leave-one-out cross-validation. The accuracy of this prediction is up to 86.4% with a sensitivity and specificity in the same range indicating that this is a feasible approach for the prediction of a second clinical attack in patients with clinically isolated syndromes, and that the chosen features are appropriate. The two features gender and location of onset lesions have been used in all feature combinations leading to a high accuracy suggesting that they are highly predictive. However, it is necessary to add supporting features to maximise the accuracy. © 2013 IEEE

Guía ESC 2019 sobre el diagnóstico y tratamiento de los síndromes coronarios crónicos

International audienc

2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes.

Coronary artery disease (CAD) is a pathologic process characterized by atherosclerotic plaque accumulation, in the epicardial arteries, whether obstructive or non-obstructive. This process may be modified by lifestyle adjustments, pharmacological therapies and invasive interventions designed to achieve disease stabilization or regression. The disease can have long stable periods but can also become unstable at any time, typically due to an acute atherothrombotic event caused by plaque rupture or erosion. However, the disease is chronic, most often progressive, and hence serious even in clinically apparently silent periods. The dynamic nature of the CAD process results in various clinical presentations which may be conveniently categorized as either acute coronary syndromes (ACS) or chronic coronary syndromes (CCS). The guidelines presented here refer to the management of patients with CCS

Liver Pathology

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