Anomaly-based threat detection in smart health using machine learning

Anomaly-based threat detection in smart health using machine learning

Abstract Background Anomaly detection is crucial in healthcare data due to challenges associated with the integration of smart technologies and healthcare. Anomaly in electronic health record can be associated with an insider trying to access and manipulate the data. This article focuses around the...

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Bibliographic Details
Main Authors: Muntaha Tabassum, Saba Mahmood, Amal Bukhari, Bader Alshemaimri, Ali Daud, Fatima Khalique
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Healthcare
Anomaly detection
Insider threats
Electronic Health Records(EHRs)
Machine learning
Online Access:https://doi.org/10.1186/s12911-024-02760-4
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