Prediction of 30-Day Readmission After Stroke Using Machine Learning and Natural Language Processing

Prediction of 30-Day Readmission After Stroke Using Machine Learning and Natural Language Processing

Background and Purpose: This study aims to determine whether machine learning (ML) and natural language processing (NLP) from electronic health records (EHR) improve the prediction of 30-day readmission after stroke.Methods: Among index stroke admissions between 2011 and 2016 at an academic medical...

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Bibliographic Details
Main Authors: Christina M. Lineback, Ravi Garg, Elissa Oh, Andrew M. Naidech, Jane L. Holl, Shyam Prabhakaran
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Neurology
Subjects:
stroke
readmission
machine learning
natural language processing
bioinformatics
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2021.649521/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2021.649521/full

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