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Machine Learning-Enhanced Anomaly Detection in Healthcare Monitoring:A Survey

Year: 2024

Type: conference-paper

Source: Novel Intelligent and Leading Emerging Sciences Conference (NILES)

DOI: 10.1109/niles63360.2024.10753231

Authors: Ayman Ali, Ahmed Ashraf, Kamel Rahouma

Institutions: Benha University, Minia University

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4404628704

FWCI: 1.472

Cites: 27

Cited by: 5

Related to: 10