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ABSTRACT: Background
The integration of information technology into health care has created opportunities to address diagnostic challenges. Internet searches, representing a vast source of health-related data, hold promise for improving early disease detection. Studies suggest that patterns in search behavior can reveal symptoms before clinical diagnosis, offering potential for innovative diagnostic tools. Leveraging advancements in machine learning, researchers have explored linking search data with health records to enhance screening and outcomes. However, challenges like privacy, bias, and scalability remain critical to its widespread adoption.Objective
We aimed to explore the potential and challenges of using internet search data in medical diagnosis, with a specific focus on dis
SUBMITTER: Downing GJ
PROVIDER: S-EPMC11862766 | biostudies-literature | 2025 Feb
REPOSITORIES: biostudies-literature