Short CommunicationsOpen accessIn the abstractMolecular Testing for Respiratory Tract Infections May Have Favorable Impact on Real-world Healthcare CostsAzia Evans, Vijay Singh, Pallavi Upadhyay et al.Molecular testing by Polymerase Chain Reaction (PCR) has improved diagnostic performance to inform appropriate treatment. However, its impact on healthcare utilization and costs related to respiratory tract infections are yet to be studied in detail. The aim of this study is to evaluate the costs of healthcare utilization following traditional culture and molecular PCR diagnostic testing for respiratory tract infections. … …American Journal of Infectious Diseases, Vol. 20, Issue 3 · 15 Jan 2025 · 5,264 accessesView PDFCite
Research ArticleOpen accessIn the abstractGreen Leadership as an Emerging Style for Addressing Climate Change Issues in SchoolsWahab AliThis paper attempts to investigate the concept of green leadership towards creating a greener environment through addressing issues of climate change and global warming. This initiative has been undertaken because principals take on a leading role in climate change education. As such an exploratory study was undertaken aimed at eliciting the views of principals about climate concepts and their opinions … …Journal of Social Sciences, Vol. 15, Issue 1 · 22 Jun 2019 · 8,311 accessesView PDFCite
Research ArticleOpen accessIn the abstractEscalating SVM-Efficiency by Sequential QP LP and Slack Variable AnalysisAmit Kumar Kundu, Rezaul Karim, Ali Ahmed AveSupport Vector Machine (SVM) is a highly attractive algorithm among many machine learning models due to its generalization power and classification performance based on sound mathematical formulation being convex that offers global minimum. However, despite being sparse, its high classification cost from kernel execution with Support Vectors (SVs) reduces the user's interest when there are hard computational constraints in the … …Journal of Computer Science, Vol. 19, Issue 10 · 6 Sep 2023 · 5,917 accessesView PDFCite
Research ArticleOpen accessIn the abstractStroke Risk Assessment with Classical ML MethodsMohammad Aref Alshraideh, Najwan Alshraideh, Abedalrahman Alshraideh et al.Stroke, often caused by a disruption in the supply of essential oxygen, blood, and nutrients to the brain, represents a significant global health challenge. Due to limited resources, developing countries like Ethiopia face unique obstacles in identifying and treating strokes. This study explores the potential of Machine Learning (ML) techniques to predict stroke risk and facilitate early detection and intervention. … …Journal of Computer Science, Vol. 21, Issue 1 · 18 Dec 2024 · 4,657 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrevalence of Diarrhea-Causing Pathogens in South Korea Analyzed Using Molecular Diagnostic MethodsYonghee Lee, Jae Kyung KimGastrointestinal inflammation remains a prevalent global health concern. Prompt and accurate diagnosis of the condition is required to mitigate health risks in immunocompromised individuals and alleviate the economic burden linked to treatment and pathogen isolation. Challenges posed by traditional culture tests, such as long detection time and inability to isolate low-abundance organisms, can be overcome using molecular diagnostic methods, which … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 2 · 25 Jul 2024 · 5,012 accessesView PDFCite
Research ArticleOpen accessIn the abstractPersonalized Recommendation System: Web of Things Using Modular Density-Based Community DiscoveryVinod Patidar, Jayashree A. Patil, Sonika Thapak et al.Community discovery is the cornerstone and core of study in customized recommendation, assembling group features and social network analysis on the web of things. Conventional community discovery methods, however, struggle with difficulties including low accuracy, delayed convergence, modularity resolution limits and more when dealing with more complicated social networks. Because of this, differential evolution and module density are included in … …Journal of Computer Science, Vol. 20, Issue 9 · 21 Jun 2024 · 5,644 accessesView PDFCite
Research ArticleOpen accessIn the abstractPM2.5 Prediction Using Homogenous and Heterogenous Ensemble Learning: A Comprehensive EvaluationShrabani Medhi, Minakshi GogoiAir pollution is a global issue. PM2.5 is considered to be the most dangerous pollutant. Prediction of PM2.5 concentration is important so that effective measures can be taken beforehand. A multitude of machine learning methodologies have been employed in forecasting PM2.5 levels, utilizing diverse combinations of ensemble classifiers and regressors. However, there are three important issues that need to be … …Journal of Computer Science, Vol. 20, Issue 9 · 20 Jun 2024 · 5,186 accessesView PDFCite