At the Mount Sinai Health System we have successfully translated many algorithms from concept to testing and clinical care, ...

Simplify your coding workflow with these Claude Code tips. Discover advanced features, automation tools, and tips to boost ...

Objectives Cardiopulmonary involvement (CPI) is a major cause of morbidity and mortality in systemic sclerosis (SSc). The 6 min walk test (6MWT) is widely used to assess functional capacity, but its ...

Traditional cultural images have large differences in style and details in their each subdivision field, which makes the existing segmentation algorithms based on deep learning models difficult to ...

Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease (COPD). However, patients would benefit from better identification of ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Partial periodic-frequent pattern mining is a critical technique in the data mining field. This technique finds all frequent patterns demonstrating partial periodicity within temporal datasets.