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Accounting for Cancer Patients with Severe Outcomes: An Anomaly Detection Perspective

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Big Data (BigData)

DOI: 10.1109/bigdata62323.2024.10825503

Authors: Yang Yan, Christopher Lominska, Gregory N Gan, Hao Gao, Zhong Chen

Institution: University of Kansas Medical Center

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: W4406460272

FWCI: 1.468

Cites: 41

Cited by: 5

Related to: 10