2024
DOI: 10.1109/access.2024.3360691
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Ensemble of Autoencoders for Anomaly Detection in Biomedical Data: A Narrative Review

Ali Nawaz,
Shehroz S. Khan,
Amir Ahmad

Abstract: In the context of biomedical data, an anomaly could refer to a rare or new type of disease, an aberration from normal behavior, or an unexpected observation requiring immediate attention. The detection of anomalies in biomedical data has a direct impact on the health and safety of individuals. However, anomalous events are rare, diverse, and infrequent. Often, the collection of anomalous data may involve significant loss of human life and healthcare costs. Therefore, traditional supervised machine and deep lea… Show more

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Cited by 12 publications
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