Journal of Medical Internet Research

Early Prediction of Cardiac Arrest in the Intensive Care Unit Using Explainable Machine ...

After feature extraction, we developed a tabular network (TabNet) model using feature screening with cost-sensitive learning. To assess real-time CA prediction performance, we used 10-fold ...
IEEE

Early Detection of Alzheimer's Disease Using Machine Learning Techniques

Abstract: Alzheimer's disease (AD) is a disease of the central nervous system that manifests as dementia and other mental disorders. It's critical to correctly diagnose Alzheimer's disease as well as ...
The Lancet

Development and validation of an explainable machine learning model for predicting ...

bSchool of Nursing, Hunan University of Medicine, Huaihua, Hunan Province, China cSchool of Nursing, Zunyi Medical University, Zunyi, Guizhou Province, China dThoracic Surgery Department, Affiliated ...
IEEE

On Road Vehicle Breakdown Assistance by Using Machine Learning

Abstract: The On Road Vehicle Breakdown Application (ORVBA) functions as an optimal system to resolve remote automotive breakdowns. Primary end-users of the ORVBA platform will use the system to reach ...
The New York Times

As Trump Obliterates Climate Efforts, States Try to Fill the Gap

Across the country, Democratic-led states are accelerating their initiatives to cut greenhouse gas emissions. Their role just became much more important. By Maxine Joselow Reporting from Washington In ...