Year: 2025
Type: article
Abstract: The rapid growth of digital healthcare data presents a significant opportunity to improve healthcare services through innovative data analysis techniques. Web mining, the process of extracting valuable insights from vast amounts of online data, is emerging as a powerful tool in enhancing healthcare services. By applying web mining methods, healthcare providers can gather, analyze, and leverage data from various online sources, such as health forums, social media, and electronic health records, to uncover patterns, trends, and patient behaviors that are critical for improving care quality. This approach enables the identification of emerging health issues, provides insights into patient preferences, and supports personalized treatment recommendations. Additionally, web mining techniques can assist in predicting disease outbreaks, improving patient engagement, and optimizing healthcare resources by identifying areas for improvement in service delivery. This paper explores the application of web mining in the healthcare sector, discussing the methodologies, tools, and algorithms used to process large-scale healthcare data. Furthermore, it examines the potential benefits and challenges associated with integrating web mining techniques into healthcare services, emphasizing data privacy, security concerns, and the need for effective integration with existing healthcare systems. Ultimately, web mining can play a pivotal role in developing smarter, more responsive healthcare systems that enhance both patient outcomes and operational efficiencies.
DOI: 10.46632/cset/1/2/9
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4412510353