Publications by authors named "C Nigel Hacking"
Background: Care problems such as decubitus and fall incidents are prevalent in nursing homes. Yet, research regarding explanatory factors on these care problems is scarce. The aim of this study is twofold: (1) to identify the degree to which a diverse set of resident-related factors (e.
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- * It involved analyzing patient data from an emergency department before and after the legislation, comparing 191 cases from six months prior to 252 cases from six months after the law change.
- * Results indicated that there was no significant decrease in serious injuries post-legislative change, with facial injuries being the most common; further large studies are needed to evaluate the comprehensive effects of the new laws.
Objectives: In long-term care for older adults, large amounts of text are collected relating to the quality of care, such as transcribed interviews. Researchers currently analyze textual data manually to gain insights, which is a time-consuming process. Text mining could provide a solution, as this methodology can be used to analyze large amounts of text automatically.
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- * A two-stage deep learning framework was developed to automatically identify and classify DRFs from wrist X-rays using advanced models, mimicking how doctors examine images for abnormalities.
- * The framework demonstrated promising results with 81% accuracy and a strong true positive rate, suggesting its potential for improving automatic fracture classification in clinical settings.
Aim: To determine the feasibility of spectral computed tomography (CT) in the differentiation of focal liver lesions from hepatocellular carcinoma (HCC) using a network meta-analysis (NMA).
Materials And Methods: The review was completed in accordance with PRISMA guidelines. Searches of three medical databases were performed.