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A clustering approach for detecting implausible observation values in electronic health records data

Published Online: 2019-07-23

Published Print: 2019-12

Authors

Estiri, Hossein http://orcid.org/0000-0002-0204-8978
Klann, Jeffrey G.

Murphy, Shawn N.
Funding

Funding for this research was provided by:

Patient-Centered Outcomes Research Institute (CDRN-1306-04608)

National Human Genome Research Institute (R01-HG009174)

U.S. National Library of Medicine (T15LM007092)
License Information

Text and Data Mining valid from 2019-07-23

Version of Record valid from 2019-07-23
More Information

Article History

Received: 2 January 2019

Accepted: 26 June 2019

First Online: 23 July 2019

Ethics approval and consent to participate

: This project was approved by the Partners Healthcare IRB with a waiver of consent according to protocol 2014P002367.

: Not applicable.

: The authors declare that they have no competing interests.

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