Machine learning (ML) models are developed on a learning dataset covering only a small part of the data of interest. If model predictions are accurate for the learning dataset but fail for unseen data then generalization error is considered high. This problem manifests itself within all major sub-fields of ML but is especially relevant in medical applications.
View Article and Find Full Text PDFZh Nevrol Psikhiatr Im S S Korsakova
June 2022
Objective: Assessment of the features of cognitive impairment in patients with vascular risk factors, depending on age and gender.
Material And Methods: The observational cross-sectional study included data from 1.651 patients aged 45 to 84 years with vascular risk factors from various regions of the Russian Federation.
Objective: The objective of this study was to determine if Divaza, a drug with nootropic and antioxidant effects, was safe and effective for the correction of oxidative disturbances and to stabilize cognitive impairment in patients with cerebral atherosclerosis.
Study Design: The study design consisted of a 12-week multicenter, randomized, double-blind, placebo-controlled, prospective trial in parallel groups.
Setting: The setting in which the study was conducted comprised 10 clinical centers across the Russian Federation.
Eur Neurol
May 2021
Background: Chronic cerebral ischemia (CCI) is a form of cerebrovascular disease manifested as a vascular cognitive impairment (VCI). The management of the patients with CCI is determined by a healthy lifestyle and early therapy aimed at correcting and preventing this disease. Divaza is a drug with endothelial protective and nootropic effects.
View Article and Find Full Text PDF