Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.21037/apm-2023-03 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Machine learning based prediction models for cardiovascular disease risk using electronic health records data: systematic review and meta-analysis.
Eur Heart J Digit Health
January 2025
School of Life Course & Population Sciences, King's College London, SE1 1UL London, UK.
Cardiovascular disease (CVD) remains a major cause of mortality in the UK, prompting the need for improved risk predictive models for primary prevention. Machine learning (ML) models utilizing electronic health records (EHRs) offer potential enhancements over traditional risk scores like QRISK3 and ASCVD. To systematically evaluate and compare the efficacy of ML models against conventional CVD risk prediction algorithms using EHR data for medium to long-term (5-10 years) CVD risk prediction.
View Article and Find Full Text PDFImproving the preoperative assessment of older adults considering surgery: The need for a structured curriculum during surgery residency.
Surg Pract Sci
September 2023
Department of Medicine, Yale School of Medicine, PO Box 208062, New Haven, CT 06520-8088, USA.
Background: Over half of surgeries in the United States are performed on older adults. The aims of this study were to quantify geriatric-relevant discussion topics and assessments during the consent process and to assess the need for a structured approach to consent older patients.
Methods: General surgery residents at a single institution answered questions about content of the informed consent process and preoperative assessment in adult and geriatric (> 65) patients.
Transforming healthcare: Saudi Arabia's vision 2030 healthcare model.
J Pharm Policy Pract
January 2025
School of Medical and Life Sciences, Sunway University, Sunway City, Malaysia.
Vision 2030 represents Saudi Arabia's strategic socio-economic plan aimed at promoting economic diversification and enhancing living standards. Launched in April 2016, this vision describes an innovative healthcare plan to improve services and outcomes. The merits and drawbacks of public hospitals' 'Model of Care' are examined in this study.
View Article and Find Full Text PDFExploring segmented assimilation theory in health education utilization and its influencing factors among internal migrants in China: insights from the 2017 China migrants dynamic survey.
Front Public Health
January 2025
School of Nursing and Health Management, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Introduction: This study investigated segmented assimilation patterns and factors influencing health education utilization (HEU) among internal migrant populations in China, driven by concerns over their declining health owing to urbanization-related changes.
Methods: Data from the 2017 China Migrants Dynamic Survey were analyzed, focusing on 13,998 rural migrants. Negative binomial regression was used to explore assimilation patterns and determine the factors affecting HEU among internal migrants in China.
Challenges in diagnosing polyethylene glycol and polysorbate 80 allergies: implications for allergic reactions in COVID-19 mRNA vaccination program: experience from Qatar.
Front Allergy
January 2025
Allergy and Immunology Division, Department of Medicine, Hamad Medical Corporation, Doha, Qatar.
Introduction: COVID-19 vaccination has been a key intervention in reducing the severity of symptoms; however, concerns about vaccine safety, particularly regarding allergic reactions, arose early on. Healthcare workers faced the challenge of addressing these concerns to ensure safe vaccine administration. This study aimed to review the practical aspects of using allergy skin testing for COVID-19 vaccine excipients in patients with a history of allergic reactions developed following mRNA COVID-19 vaccination.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!