Machine Learning-based Classifiers for the Prediction of Low Birth Weight.

Objectives: Low birth weight (LBW) is a global concern associated with fetal and neonatal mortality as well as adverse consequences such as intellectual disability, impaired cognitive development, and chronic diseases in adulthood. Numerous factors contribute to LBW and vary based on the region. The main objectives of this study were to compare four machine learning classifiers in the prediction of LBW and to determine the most important factors related to this phenomenon in Hamadan, Iran.

Sensory interventions on motor function, activities of daily living, and spasticity of the upper limb in people with stroke: A randomized clinical trial.

Study Design: This is a single-blinded clinical trial study. Clinical Trial Number registry: IRCT201610223551N4.

Introduction: Stroke is the second cause of death around the world.