Work

38: Sufficient Sampling Frequency for Machine Learning to Separate Monitoring Artifact From Instability

Year: 2017

Type: article

Source: Critical Care Medicine

DOI: 10.1097/01.ccm.0000528093.59059.9e

Authors: Anthony Wertz, Marilyn Hravnak, Artur Dubrawski, Lujie Chen, Tiffany Pellathy, Gilles Clermont, Michael Pinsky

Institutions: University of Pittsburgh, Carnegie Mellon University

Language: English

Topic: Healthcare Technology and Patient Monitoring

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2776620486

FWCI:

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Related to: 10