Abstract TMP77: Predictors of Readmission After Stroke in a Cohort of Privately Insured Patients
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DOI: 10.1161/str.51.suppl_1.tmp77
Abstract: Introduction: Reducing readmission rate is a healthcare priority. The aim of this project is to examine factors associated with readmission after stroke in a privately insured cohort. Methods: Our organization is a health insurance provider… read more here.
Keywords: privately insured; readmission stroke; readmission; primary care ... See more keywords
Abstract P308: Machine Learning Based Models of the 30-Day Readmission for Stroke Patients Using Electronic Health Record Data
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DOI: 10.1161/str.52.suppl_1.p308
Abstract: Background: At a personalized level, identification of patients at higher risk of 30-day readmission and in need of special clinical attention could lower their chances of readmission. While at a s... read more here.
Keywords: readmission stroke; readmission; day readmission; p308 machine ... See more keywords
Prediction of 30-Day Readmission After Stroke Using Machine Learning and Natural Language Processing
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DOI: 10.3389/fneur.2021.649521
Abstract: 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… read more here.
Keywords: readmission stroke; machine learning; readmission; day ... See more keywords