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Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach.
JMIR Form Res
January 2025
Department of Computer Science, University of California, Irvine, Irvine, CA, United States.
Background: Acute pain management is critical in postoperative care, especially in vulnerable patient populations that may be unable to self-report pain levels effectively. Current methods of pain assessment often rely on subjective patient reports or behavioral pain observation tools, which can lead to inconsistencies in pain management. Multimodal pain assessment, integrating physiological and behavioral data, presents an opportunity to create more objective and accurate pain measurement systems.
View Article and Find Full Text PDFAssessment of health behaviors of primary school teachers based on their nutritional knowledge and physical activity: A cross-sectional study in the Asir Region.
PLoS One
January 2025
Department of Public Health, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Background: Primary school teachers play a critical role as educators in imparting healthy eating behaviour and the importance of physical activity to prevent health issues. However, the teachers' health behaviors have not been studied much, particularly in Saudi Arabia. Understanding these factors is essential to developing interventions that enhance teachers' well-being and their ability to influence students positively.
View Article and Find Full Text PDFIdentifying Parental Feeding Patterns in a Spanish Sample of Toddlers Using a Latent Class Analysis.
Matern Child Nutr
January 2025
Department of Nursing, Faculty of Health Sciences, University of Alicante, San Vicente del Raspeig, Spain.
Parental feeding styles are an important factor influencing child development. Traditionally, they have been classified into four styles based on cut-off points for responsiveness and demandingness. However, alternative methods, such as latent class analysis (LCA), allow for the detection of underlying homogeneous populations.
View Article and Find Full Text PDFA nomogram for predicting bladder dysfunction in patients with type 2 diabetes mellitus: a retrospective study.
PeerJ
January 2025
Department of Nursing, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, China.
Background: Diabetic bladder dysfunction (DBD) is a common urinary complication in diabetic patients, significantly affecting their overall well-being and quality of life, and placing a considerable burden on healthcare resources. Early prevention is crucial; however, the absence of a simple and effective tool to predict DBD onset remains a significant challenge. This study aims to identify risk factors for DBD in patients with type 2 diabetes mellitus (T2DM) and to develop a predictive nomogram for clinical application.
View Article and Find Full Text PDFThe Efficacy of Oral Atorvastatin for Skin Toxicity in Breast Cancer Patients Undergoing Radiotherapy: A Randomized, Double-blind, Placebo-controlled Trial.
Curr Pharm Des
January 2025
Department of Radiopharmacy, Faculty of Pharmacy, Pharmaceutical Sciences Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
Introduction: Most Breast Cancer (BC) patients undergoing Radiotherapy (RT) are potentially susceptible to skin toxicity and prone to clinical symptom complaints. This study aimed to investigate the effect of oral Atorvastatin (ATV) administration on skin toxicity in BC patients undergoing RT.
Methods: One hundred BC patients were randomly assigned to oral ATV (40 mg) or placebo tablets two days before beginning the RT until the eighth week of the RT regimen was completed.
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