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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 18 / Book One

Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks

February 1, 2023

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Authors

Weng-Keen Wong and Andrew Moore

Carnegie Mellon University; Gregory Cooper and Michael Wagner

University of Pittsburgh

DOI:


Abstract:

This paper presents an algorithm for performing early detection of disease outbreaks by searching a database of emergency department cases for anomalous patterns. Traditional techniques for anomaly detection are unsatisfactory for this problem because they identify individual data points that are rare due to particular combinations of features. When applied to our scenario, these traditional algorithms discover isolated outliers of particularly strange events, such as someone accidentally shooting their ear, that are not indicative of a new outbreak. Instead, we would like to detect anomalous patterns. These patterns are groups with specific characteristics whose recent pattern of illness is anomalous relative to historical patterns. We propose using a rule-based anomaly detection algorithm that characterizes each anomalous pattern with a rule. The significance of each rule is carefully evaluated using Fisher’s Exact Test and a randomization test. Our algorithm is compared against a standard detection algorithm by measuring the number of false positives and the timeliness of detection. Simulated data, produced by a simulator that creates the effects of an epidemic on a city, is used for evaluation. The results indicate that our algorithm has significantly better detection times for common significance thresholds while having a slightly higher false positive rate.

Topics: AAAI

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Weng-Keen Wong and Andrew Moore|| Carnegie Mellon University; Gregory Cooper and Michael Wagner|| University of Pittsburgh Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks Proceedings of the AAAI Conference on Artificial Intelligence, 18 (2002) 217.

Weng-Keen Wong and Andrew Moore|| Carnegie Mellon University; Gregory Cooper and Michael Wagner|| University of Pittsburgh Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks AAAI 2002, 217.

Weng-Keen Wong and Andrew Moore|| Carnegie Mellon University; Gregory Cooper and Michael Wagner|| University of Pittsburgh (2002). Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks. Proceedings of the AAAI Conference on Artificial Intelligence, 18, 217.

Weng-Keen Wong and Andrew Moore|| Carnegie Mellon University; Gregory Cooper and Michael Wagner|| University of Pittsburgh. Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks. Proceedings of the AAAI Conference on Artificial Intelligence, 18 2002 p.217.

Weng-Keen Wong and Andrew Moore|| Carnegie Mellon University; Gregory Cooper and Michael Wagner|| University of Pittsburgh. 2002. Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks. "Proceedings of the AAAI Conference on Artificial Intelligence, 18". 217.

Weng-Keen Wong and Andrew Moore|| Carnegie Mellon University; Gregory Cooper and Michael Wagner|| University of Pittsburgh. (2002) "Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks", Proceedings of the AAAI Conference on Artificial Intelligence, 18, p.217

Weng-Keen Wong and Andrew Moore|| Carnegie Mellon University; Gregory Cooper and Michael Wagner|| University of Pittsburgh, "Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks", AAAI, p.217, 2002.

Weng-Keen Wong and Andrew Moore|| Carnegie Mellon University; Gregory Cooper and Michael Wagner|| University of Pittsburgh. "Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks". Proceedings of the AAAI Conference on Artificial Intelligence, 18, 2002, p.217.

Weng-Keen Wong and Andrew Moore|| Carnegie Mellon University; Gregory Cooper and Michael Wagner|| University of Pittsburgh. "Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks". Proceedings of the AAAI Conference on Artificial Intelligence, 18, (2002): 217.

Weng-Keen Wong and Andrew Moore|| Carnegie Mellon University; Gregory Cooper and Michael Wagner|| University of Pittsburgh. Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks. AAAI[Internet]. 2002[cited 2023]; 217.


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Published by AAAI Press, Palo Alto, California USA
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Artificial Intelligence 1900 Embarcadero Road, Suite
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