Machine learning techniques in intensive care monitoring
نویسندگان
چکیده
Monitoring systems in intensive care units have a high false alarm rate. Machine learning techniques can be applied to improve existing alarm systems. We present two approaches, a filtering approach and a classification approach, and demonstrate their potential in reducing false alarms.
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