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Web application using machine learning to predict cardiovascular disease and hypertension in mine workers.
Sci Rep
December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
View Article and Find Full Text PDFChildhood and Adolescent Overweight/Obesity Prevalence Trends in Jiangsu, China, 2017-2021: An Age-Period-Cohort Analysis.
Public Health Nurs
December 2024
Department of Child and Adolescent Health Promotion, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Objectives: To investigate temporal trends in childhood and adolescent overweight/obesity in Jiangsu Province, China, evaluating the effects of age, period, and birth cohort.
Design: Cross-sectional study.
Sample: Participants were 210,168 students aged 6-17 years from the five waves of the consecutive cross-sectional Jiangsu provincial surveillance project in 2017-2021.
Evaluation of Resilience and Stress Coping Styles of Primary Care Nurses During the COVID-19 Pandemic.
J Community Psychol
January 2025
Nursing Faculty, Public Health Nursing Department, Atatürk University, Yakutiye Erzurum, Turkey.
This study aimed to investigate the resilience, stress levels, coping styles, and the impact of related factors among nurses working in primary healthcare during the COVID-19 pandemic. Designed as a cross-sectional study, the research included 86 volunteer nurses employed in primary healthcare institutions in Bitlis provincial center and its districts in Turkey. Data were collected between March and June 2022 using a sociodemographic information form, the Resilience Scale for Adults, and the Ways of Coping Questionnaire.
View Article and Find Full Text PDFSARS-CoV-2 antibodies in breast milk of women given one & two doses of COVID-19 vaccine.
Indian J Med Res
November 2024
Department of Obstetrics & Gynaecology, King George's Medical University, Lucknow, Uttar Pradesh, India.
Background & objectives The COVID-19 pandemic underscores the significance of vaccination in mitigating disease spread, with Covishield and Covaxin serving as pivotal vaccines in India. Breast milk, rich in vital antibodies like IgA and IgG, plays a crucial role in enhancing the immune defence of breastfeeding infants. However, limited research exists on the antibody responses in breast milk among individuals receiving single versus double doses of the COVID-19 vaccine.
View Article and Find Full Text PDFStandardized protocol for labor induction: a type I hybrid effectiveness-implementation trial.
Lancet Reg Health Am
January 2025
Department of Obstetrics & Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Background: Cesarean delivery remains the most common obstetrical procedure with more than 250,000 patients in the US undergoing cesarean following labor induction annually. Here, we evaluated the impact of prospectively implementing a standardized labor induction protocol on cesarean delivery rates.
Methods: This multi-site type I hybrid effectiveness-implementation study compared 2 years before (PRE) and 2 years after (POST) implementation of a standardized labor induction protocol at two hospitals within the University of Pennsylvania Health System (2018-2022).
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