Recruiting participants for injury and violence-related studies can be challenging. Online qualitative data collection can ...
Two leading entities in cancer research pledge scientific collaboration to advance precision oncology. HAMBURG, Germany and ROCHESTER, N.Y., /PRNe ...
Background: There is a longstanding association between provider-specific procedure volumes and outcomes. “To inform patients and caregivers about clinicians’ experience,” the Centers for Medicare and ...
UD's DementiaBank outshines global competitors, driving machine-learning advances in early dementia prediction ...
SummaryPost-Tuberculosis Lung Disease (PTLD) is an emerging, long-neglected consequence of TB that affects a large proportion of TB survivors and ...
Objectives To gain an in-depth understanding of the experience of elderly joint replacement patients in making surgical decisions and to identify the needs of patients in the decision-making process.
Aim This study aims to identify key determinants and strategies for effectively implementing a reflection method to support adequate use of the ‘Informal Care’ guideline within community nursing. The ...
Artificial intelligence tools are boosting researchers’ productivity, but some worry about the effect of a growing reliance ...
The number of published studies using the Delphi method has increased considerably in recent years. The Delphi method is now ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...
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