Ascertaining Framingham heart failure phenotype from inpatient electronic health record data using natural language processing: a multicentre Atherosclerosis Risk in Communities (ARIC) validation study

Ascertaining Framingham heart failure phenotype from inpatient electronic health record data using natural language processing: a multicentre Atherosclerosis Risk in Communities (ARIC) validation study

Objectives Using free-text clinical notes and reports from hospitalised patients, determine the performance of natural language processing (NLP) ascertainment of Framingham heart failure (HF) criteria and phenotype.Study design A retrospective observational study design of patients hospitalised in 2...

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Main Authors: Gerardo Heiss, Saumya Jain, Anna M Kucharska-Newton, Eric Whitsel, Carlton R Moore, Stephanie Haas, Harish Yadav, Wayne Rosamand
Format: Article
Language:English
Published: BMJ Publishing Group 2021-06-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/11/6/e047356.full
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https://bmjopen.bmj.com/content/11/6/e047356.full

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