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Predicting the risk of pulmonary embolism in patients with tuberculosis using machine learning algorithms.
Eur J Med Res
December 2024
Department of Geriatric Respiratory and Critical Care, Anhui Geriatric Institute, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China.
Background: This study aimed to develop predictive models with robust generalization capabilities for assessing the risk of pulmonary embolism in patients with tuberculosis using machine learning algorithms.
Methods: Data were collected from two centers and categorized into development and validation cohorts. Using the development cohort, candidate variables were selected via the Recursive Feature Elimination (RFE) method.
Designing and implementation of a mobile application for teaching population oral health needs assessment for dental students; a non-randomized trial.
BDJ Open
December 2024
Department of Medical Education, Virtual School of Medical Education and Management, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Objective: This study investigates the effectiveness of a newly developed smartphone-based application for teaching population oral health needs assessment to undergraduate dental students.
Methods: Target population in this study consisted of all students of Shahid Beheshti School of dentistry in the 7 and 8 semesters in the year 2023. The intervention group (7 semester) received teaching about population oral health needs assessment based on the book "Oral health surveys; basic methods", by means of an application, while the control group (8 semester) received the same content through self-learning activity.
Metagenomic insights into the resistome, mobilome, and virulome of dogs with diverse lifestyles.
Anim Microbiome
December 2024
School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Dogs-whether pets, rural, or stray-exhibit distinct living styles that influence their fecal microbiota and resistomes, yet these dynamics remain underexplored. This study aimed to analyze and compare the fecal microbiota and resistomes of three groups of dogs (37 pets, 20 rural, and 25 stray dogs) in Shanghai, China.
Results: Metagenomic analysis revealed substantial differences in fecal microbial composition and metabolic activities among the dog groups.
Background: A multivariate predictive model was constructed using baseline and 12-week clinical data to evaluate the rate of clearance of hepatitis B surface antigen (HBsAg) at the 48-week mark in patients diagnosed with chronic hepatitis B who are receiving treatment with pegylated interferon α (PEG-INFα).
Methods: The study cohort comprised CHB patients who received pegylated interferon treatment at Mengchao Hepatobiliary Hospital, Fujian Medical University, between January 2019 and April 2024. Predictor variables were identified (LASSO), followed by multivariate analysis and logistic regression analysis.
The Effects of Universal Educational Interventions in Improving Mental Health Literacy, Depression, and Anxiety Among Adolescents: A Systematic Review and Meta-Analysis.
Int J Ment Health Nurs
February 2025
Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Adolescents are susceptible to developing depression and anxiety, and educational interventions could improve their mental well-being. This systematic review aimed to evaluate the effectiveness of universal educational prevention interventions in improving mental health literacy, depression, and anxiety among adolescents. Eight electronic databases were searched until June 2024: Cochrane Library, PubMed, EMBASE, CINAHL, PsycINFO, Scopus, Web of Science, ProQuest Dissertations, and Theses Global.
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