Background: In recent years, researchers have focused on developing precise models for the progression of Alzheimer's disease (AD) using deep neural networks. Forecasting the progression of AD through the analysis of time series data represents a promising approach.
Objective: The primary objective of this research is to formulate an effective methodology for forecasting the progression of AD through the integration of multi-task learning techniques and the analysis of pertinent medical data.
Background: The aim of this study is to identify the influence of factors that determine the refusal of influenza vaccine among three subjects groups.
Methods: A survey was conducted amongst three high‑risk groups in years 2018-2019 (Moscow, Russia). The survey involved 1,620 parents and pregnant women (group 1), 324 doctors (group 2) and 433 students (group 3).
Purpose: Influenza is the most common seasonal infectious disease that causes permanent social, economic, and medical problems worldwide. Therefore, the most effective way to prevent influenza is through vaccines. The aim of this study is to identify the influence of factors that determine the refusal of influenza vaccine among three subjects groups.
View Article and Find Full Text PDFThe goal was to determine ways to optimize diagnostic and therapeutic measures for various types of melasma in the outpatient setting of the dermatovenerological ambulatory clinic. The study involved 112 women with a confirmed diagnosis of facial melasma whose disease lasted for at least 2 years. The severity of patient pigmentation was evaluated using the Melasma Area Severity Index and the Melasma Severity Scale.
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