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| http://dx.doi.org/10.1002/jev2.12037 | DOI Listing |
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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 PDFMental and Oral Health: A Dual Frontier in Healthcare Integration and Prevention.
Cureus
December 2024
Public Health Dentistry, Sri Ramaswamy Memorial (SRM) Kattankulathur Dental College and Hospital, Sri Ramaswamy Memorial Institute of Science and Technology (SRMIST), Chennai, IND.
Mental and oral health are interrelated, and problems in one area usually affect the other. This review discusses the complex relationships between oral and mental health, particularly the psychosocial challenges faced by individuals with mental health disorders in maintaining oral hygiene, including stigma, lack of access to care, and financial barriers. It also discusses how psychiatric conditions influence oral health, with regard to issues such as dry mouth, gum disease, and tooth decay, and how poor oral health can aggravate mental well-being.
View Article and Find Full Text PDFHarnessing artificial intelligence for enhanced veterinary diagnostics: A look to quality assurance, Part II External validation.
Vet Clin Pathol
January 2025
Department of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Virginia, USA.
Artificial intelligence (AI) is emerging as a valuable diagnostic tool in veterinary medicine, offering affordable and accessible tests that can match or even exceed the performance of medical professionals in similar tasks. Despite the promising outcomes of using AI systems (AIS) as highly accurate diagnostic tools, the field of quality assurance in AIS is still in its early stages. Our Part I manuscript focused on the development and technical validation of an AIS.
View Article and Find Full Text PDFIntroduction: Breast cancer is the most common cancer among women worldwide. While increasing numbers of women are living beyond breast cancer, treatment-related body image concerns are common and associated with adverse consequences. Nonetheless, rigorously evaluated and effective body image interventions are lacking among this group.
View Article and Find Full Text PDFObjectives: Kangaroo mother care (KMC) is high impact for survival of low birth weight neonates, but there are few rigorous evaluations of duration required for impact. We conducted a scoping review of KMC duration measurement methods and assessed their validation.
Design: Scoping review in accordance with Joanna Briggs Institute guidance for conducting scoping review.
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