Endovascular thrombectomy for large vessel occlusion stroke in patients with pre-existing disability
Background Approximately one in three patients with acute ischemic stroke (AIS) suffer from a premorbid disability prior to ...
Objectives To exploratorily examine whether parental rearing styles mediate the association between parental mental health and children’s anxiety tendencies and to explore whether these associations ...
AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...
Objective This study focused on the preferences for psychological assistance and associated factors among Chinese healthcare workers (HCWs) during the COVID-19 pandemic. Design Cross-sectional ...
Introduction Ischaemic heart disease (IHD) remains a leading cause of morbidity and mortality worldwide and poses an ...
Introduction Duplicate medical records occur when a single patient is assigned multiple medical record numbers within an ...
Abstract: Cardiovascular diseases (CVDs) are one of the leading causes of death worldwide, and early identification is crucial to improve the patient’s prognosis. Traditional diagnostic methods for ...
Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
This project investigates the factors contributing to the success of indie games on Steam by leveraging game metadata, player engagement metrics, and machine learning techniques. A tuned Random Forest ...
Abstract: This paper compares Random Forest and Logistic Regression for predicting student placement based on age, GPA, failed courses, and attendance. Data preprocessing included normalization, ...
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