Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform classical systems on certain tasks. Over the past few decades, researchers ...
Using longitudinal data on more than 370 000 older Japanese adults, we found that living in constituencies represented by pro-tobacco legislators was associated with higher smoking prevalence. The ...
Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...
Introduction Incidental pulmonary nodules (IPNs) are commonly encountered on chest radiographs (CXRs) performed for routine clinical indications and may represent early manifestations of significant ...
Introduction Intensive care unit (ICU) visiting restrictions in hospitals, implemented due to infection control and other factors, limited contact between patients and family members, affecting ...
Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence (AI)-based liquid biopsy test ...
This project focuses on developing a custom clustering algorithm to analyze wine data, providing an alternative to conventional machine learning techniques. The primary objective is to group wine ...
Abstract: In view of the limited feature points extracted by traditional algorithms in heterogeneous remote sensing image matching, resulting in a small number of successfully matched point pairs and ...