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The relationship between information literacy and online learning engagement: a moderated mediating model.
BMC Psychol
December 2024
Mental Health Education and Counseling Center, Nanchang Hangkong University, 696, Fenghe South Avenue, Nanchang, 330063, China.
Purpose: This study aims to examine how college students' information literacy affects their online learning engagement and what factors contribute to this relationship.
Method: The research adopted the method of cluster sampling to deliver a questionnaire survey to a sample of 1421 students' representative of four colleges. Information Literacy Scale, Online Learning Engagement Scale, Information Literacy Self-Efficacy Scale, and Psychological Resilience Scale were utilized in this study.
Association between serum hypertriglyceridemia and hematological indices: data mining approaches.
BMC Med Inform Decis Mak
December 2024
Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Background: High triglyceride (TG) affects and is affected of other hematological factors. The determination of serum fasted triglycerides concentrations, as part of a lipid profile, is crucial key point in hematological factors and significantly affect various systemic diseases. This study was carried out to assess the potential relation between the concentration of TG and hematological factors.
View Article and Find Full Text PDFDecadal trends in the exclusive breastfeeding practices among working Indian mothers: a multi-level analysis.
Int Breastfeed J
December 2024
Department of Community and Family Medicine, All India Institute of Medical Sciences, Bathinda (Punjab), Bathinda, 151001, India.
Background: Exclusive breastfeeding (EBF) is defined as feeding infants only breast milk of the mother or a wet nurse for the first six months, without additional food or liquids except the oral rehydration solution or drops/syrups of vitamins, minerals or medicines. The working status of women in developed countries adversely affects the EBF rates, which calls for an assessment in rapidly developing countries like India. Therefore, the primary aim of the present study is to determine the prevalence of EBF using the data from the National Family Health Surveys (NFHS 3, 4, 5) conducted between 2005 and 06, 2015-16 and 2019-21 to estimate the likelihood EBF according to mothers' employment status.
View Article and Find Full Text PDFExploring prospects, hurdles, and road ahead for generative artificial intelligence in orthopedic education and training.
BMC Med Educ
December 2024
Department of Orthopedics, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, 151203, India.
Generative Artificial Intelligence (AI), characterized by its ability to generate diverse forms of content including text, images, video and audio, has revolutionized many fields, including medical education. Generative AI leverages machine learning to create diverse content, enabling personalized learning, enhancing resource accessibility, and facilitating interactive case studies. This narrative review explores the integration of generative artificial intelligence (AI) into orthopedic education and training, highlighting its potential, current challenges, and future trajectory.
View Article and Find Full Text PDFBias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.
BMC Public Health
December 2024
Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
Background: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population health, with a focus on its use in non-communicable diseases (NCDs). We also examine potential algorithmic biases in model design, training, and implementation, as well as efforts to mitigate these biases.
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