A Simple Free-Text-like Method for Extracting Semi-Structured Data from Electronic Health Records: Exemplified in Prediction of In-Hospital Mortality

A Simple Free-Text-like Method for Extracting Semi-Structured Data from Electronic Health Records: Exemplified in Prediction of In-Hospital Mortality

The Epic electronic health record (EHR) is a commonly used EHR in the United States. This EHR contain large semi-structured “flowsheet” fields. Flowsheet fields lack a well-defined data dictionary and are unique to each site. We evaluated a simple free-text-like method to extract these data. As a us...

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Bibliographic Details
Main Authors: Eyal Klang, Matthew A. Levin, Shelly Soffer, Alexis Zebrowski, Benjamin S. Glicksberg, Brendan G. Carr, Jolion Mcgreevy, David L. Reich, Robert Freeman
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Big Data and Cognitive Computing
Subjects:
electronic health records
machine learning
gradient boosting
Online Access:https://www.mdpi.com/2504-2289/5/3/40

Internet

https://www.mdpi.com/2504-2289/5/3/40

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