A big data analysis algorithm for massive sensor medical images.

ABSTRACT: Big data analytics for clinical decision-making has been proposed for various clinical sectors because clinical decisions are more evidence-based and promising. Healthcare data is so vast and readily available that big data analytics has completely transformed this sector and opened up many new prospects. The smart sensor-based big data analysis recommendation system has significant privacy and security concerns when using sensor medical images for suggestions and monitoring. The danger of security breaches and unauthorized access, which might lead to identity theft and privacy violations, increases when sending and storing sensitive medical data on the cloud. Our effort will improve patient care and well-being by creating an anomaly detection system based on machine learning specifically

SUBMITTER: Alzakari SA 

PROVIDER: S-EPMC11623192 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature