BMJ Quality & Safety

Impact of COVID-19 on incidence and trends of adverse events among hospitalised patients in Calgary, Canada: a retrospective chart review study

Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...
Frontiers

Assisting hand gesture classification and rehabilitation assessment via sEMG and finger motion data

Introduction: To address the lack of integrated and clinically applicable motion capture systems for hand function assessment, we developed a wearable device capable of simultaneously recording finger ...
Frontiers

Deep exploration and precise identification of key risk factors for diabetic peripheral neuropathy using the random forest algorithm

Background: Diabetic peripheral neuropathy (DPN) is a prevalent and highly disabling complication of diabetes mellitus, associated with markedly increased rates of disability and mortality. Timely ...
IEEE

Brain Tumor Classification System Using Decision Tree Algorithm

Abstract: This research aims to study, design, and develop a brain tumor classification system using artificial intelligence, specifically decision tree algorithms. The system's primary objective is ...
BMJ Open

Generating actionable insights to support point-of-care suicide risk decision-making in a safety-net healthcare system: a machine learning approach to predicting dynamic risk ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...
IEEE

A Web-Based SMOTE-Random Forest Model for Diabetes Classification on Imbalanced Data

Abstract: Diabetes is one of the leading causes of death globally, including in Indonesia, with many cases remaining undiagnosed due to overlapping symptoms. Traditional classification models often ...