A clustering approach for detecting implausible observation values in electronic health records data
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DOI: 10.1186/s12911-019-0852-6
Abstract: BackgroundIdentifying implausible clinical observations (e.g., laboratory test and vital sign values) in Electronic Health Record (EHR) data using rule-based procedures is challenging. Anomaly/outlier detection methods can be applied as an alternative algorithmic approach to flagging… read more here.
Keywords: approach detecting; electronic health; approach; detecting implausible ... See more keywords