Artificial Intelligence Based Anomaly Detection in Patient Health Monitoring Using Ensemble Learning Methods

P, Ajitha

Artificial Intelligence Based Anomaly Detection in Patient Health Monitoring Using Ensemble Learning Methods

P, Ajitha (2024) Artificial Intelligence Based Anomaly Detection in Patient Health Monitoring Using Ensemble Learning Methods. In: Proceedings of the 1st International Conference on Artificial Intelligence, Communication, IoT, Data Engineering and Security, IACIDS 2023, 23-25 November 2023, Lavasa, Pune, India.

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Abstract

A Novel anomaly detection algorithm called SemiAI-AnomalyDetect+ is proposed in this paper. It is specifically designed for large-scale patient datasets in the healthcare domain. Combining unsupervised K-means clustering and semi-supervised learning techniques, the algorithm achieves robust and adap

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Date Deposited:	04 Mar 2026 17:19
Last Modified:	17 Apr 2026 00:08
URI:	http://eprints.eai.eu/id/eprint/47781

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