A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...
Greater baseline disease pruritus and quality of life impairment are associated with higher rates of super response to dupilumab in patients with AD.
Background Coronary artery disease (CAD) is one of the biggest causes of mortality worldwide. Risk stratification for early ...
Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...
Abstract: In this paper, a hybrid optimization back propagation (BP) neural network based on Particle Swarm Optimization (PSO) and Chaotic Random Grey Wolf Optimization (CR-GWO) is proposed and ...
Abstract: This research investigates the impact of news sentiment on predicting the Jakarta Composite Index (JCI) using the Support Vector Regression (SVR) method. Market sentiment, derived from news ...