This paper introduces the application and role of data mining technology in the hospital management.
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J Med Internet Res
January 2025
Institute of Learning Sciences and Technologies, National Tsing Hua University, Hsinchu, Taiwan.
Background: Health misinformation undermines responses to health crises, with social media amplifying the issue. Although organizations work to correct misinformation, challenges persist due to reasons such as the difficulty of effectively sharing corrections and information being overwhelming. At the same time, social media offers valuable interactive data, enabling researchers to analyze user engagement with health misinformation corrections and refine content design strategies.
View Article and Find Full Text PDFFront Pharmacol
January 2025
Department of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China.
Objective: This study aimed to evaluate the risk of tumor formation with infliximab or azathioprine monotherapy versus their combination, using the FDA Adverse Event Reporting System (FAERS) database.
Methods: Data were extracted from the FAERS database for patients treated with infliximab, azathioprine, and combination therapy from Q1 2004 to Q2 2024. Signal mining employed methods such as Reported Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Multiple Gamma-Poisson Scaling Assessment (MGPSA) and Bayesian Confidence Interval Progressive Neural Network (BCPNN).
Data Brief
February 2025
Technological University Dublin, Faculty of Engineering and Built Environment, School of Surveying and Construction Innovation, Room 334.1, Bolton Street, D01 K822, Dublin, Ireland.
The dataset offers a comprehensive information to analyse cities and neighbourhood that are potentially unsafe for women, this information has been collected for four cities: Toluca (Mexico), Valencia (Spain), Dublin (Ireland) and San Francisco (USA). The collection includes quantitative and qualitative variables obtained and processed from open data, georeferenced publications from a social media platform, and points located through participatory mapping sessions. The data is structured in raw format, organized by country and city, and categorized according to the data source used while processing, which allows unrestricted access with most data analysis software and it does not depend on specific licenses.
View Article and Find Full Text PDFHeliyon
January 2025
School of Economics and Management, Anyang University, Anyang, 455000, China.
The study aims to address challenges encountered by modern industrial enterprises, including inefficient accounting cost calculation, delayed information acquisition, and untimely management decisions. By comprehensively applying modern management, information technology, and cost control methods, this study constructs a real-time cost control model to optimize industrial enterprises. Firstly, the model employs mixed integer linear programming (MILP) to optimize production processes through mathematical modeling.
View Article and Find Full Text PDFFront Res Metr Anal
January 2025
Institute for Future Initiatives, The University of Tokyo, Tokyo, Japan.
Patent analytics is crucial for understanding innovation dynamics and technological trends. However, a comprehensive overview of this rapidly evolving field is lacking. This study presents a data-driven analysis of patent research, employing citation network analysis to categorize and examine research clusters.
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