Year: 2017
Type: preprint
Abstract: Employing a machine learning approach we predict, up to 24 hours prior, a diagnosis of severe sepsis. Strongly predictive models are possible that use only text reports from the Electronic Health Record (EHR), and omit structured numerical data. Unstructured text alone gives slightly better performance than structured data alone, and the combination further improves performance. We also discuss advantages of using unstructured EHR text for modeling, as compared to structured EHR data.
Source: arXiv (Cornell University)
Authors: Culliton, Phil, Levinson, Michael, Ehresman, Alice, Wherry, Joshua, Steingrub, Jay S., Gallant, Stephen I.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: National Science Foundation
OpenAlex ID: W2774099121