We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Some of America's largest home insurers are pricing wildfire risk at dramatically different levels of precision - and the gap ...
Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
Background Bystanders may critically influence prehospital delay during acute myocardial infarction (AMI), but existing ...
Mathematics In AI: Mathematical concepts such as statistics and probability form the foundation of Artificial Intelligence (AI) and its branches like Machine Learning and Deep Learning. Machine ...
Abstract: In the past decades, the ensemble systems have been shown as an efficient method to increase the accuracy and stability of classification algorithms. However, how to get a valid combination ...
A multimodal deep learning framework trained on paired CT and MRI data demonstrated improved diagnostic accuracy when classifying patients with Alzheimer disease, mild cognitive impairment, or normal ...
Objectives To examine primary care contacts among individuals with eating disorders (EDs) and assess differences across ...
Researchers developed a washable textile-based IDC strain sensor that tracked yoga-inspired movements with 94.4% record-level ...
Abstract: The integration of on-demand technologies in urban mobility requires a comprehensive understanding of user acceptance and willingness to pay for innovative modes like on-demand public ...
Rationale: Aberrant expression profiles of circulating microRNAs (miRNAs) have been described in various diseases and provide high sensitivity and specificity. We explored circulating miRNAs as ...
1 Clinical Epidemiology Research and Training Unit, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA 2 Data Coordinating Center, Boston University School of ...