Healthcare and anomaly detection: using machine learning to predict anomalies in heart rate data.
Edin SabicDavid KeeleyBailey HendersonSara NannemannPublished in: AI Soc. (2021)
Keyphrases
- anomaly detection
- detect anomalies
- machine learning
- data sets
- data analysis
- intrusion detection
- heart rate
- anomalous behavior
- blood pressure
- network traffic
- knowledge discovery
- detecting anomalies
- network anomaly detection
- information systems
- data mining
- network intrusion detection
- vital signs
- one class support vector machines
- physiological signals
- intrusion detection system
- data mining applications
- unsupervised learning
- data mining techniques
- computer systems
- text mining
- active learning
- training data
- unsupervised anomaly detection