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- W2911637210 abstract "New York Heart Association (NYHA) Class is an important measure of functional status for heart failure (HF) patients used for clinical documentation, treatment decisions, as well as for eligibility criteria and outcome measures in clinical studies. Electronic health records (EHRs) possess the potential to more efficiently access NYHA class information to measure effectiveness of treatments such as cardiac resynchronization therapy (CRT) and to monitor disease progression. However, our previous study has shown that the percentage of encounters of HF patients with a CRT implant that have explicit NYHA class documentation is low. In the present study, we examine if NYHA class can be estimated from EHR data for HF patients when it is not explicitly documented. Using machine learning methods, we constructed a model that estimated NYHA class for HF patient encounters with high quality, demonstrated by an AUC of 0.87." @default.
- W2911637210 created "2019-02-21" @default.
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- W2911637210 date "2018-12-01" @default.
- W2911637210 modified "2023-10-16" @default.
- W2911637210 title "Estimating New York Heart Association Classification for Heart Failure Patients from Information in the Electronic Health Record" @default.
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- W2911637210 doi "https://doi.org/10.1109/bibm.2018.8621518" @default.
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