January 8, 2020Open Access

Assessing stroke severity using electronic health record data: a machine learning approach

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Abstract

Machine learning models built on EHR data can be used to determine proxies for stroke severity. This enables severity to be incorporated in studies of stroke patient outcomes using administrative and EHR databases.

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Discussion

Journals

SHILAP Revista de lepidopterología

BMC Medical Informatics and Decision Making

Institutions

Hartford Financial Services (United States)

Janssen (United States)

Hartford Hospital

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