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Natural language processing for identification of hypertrophic cardiomyopathy patients from cardiac magnetic resonance reports

Published Online: 2022-10-18

Authors

Dewaswala, Nakeya

Chen, David

Bhopalwala, Huzefa

Kaggal, Vinod C.

Murphy, Sean P.

Bos, J. Martijn

Geske, Jeffrey B.

Gersh, Bernard J.

Ommen, Steve R.

Araoz, Philip A.

Ackerman, Michael J.

Arruda-Olson, Adelaide M.
Funding

Funding for this research was provided by:

National Heart, Lung and Blood Institute of National Institutes of Health (K01HL124045, K01HL124045, K01HL124045, K01HL124045, K01HL124045, K01HL124045, K01HL124045, K01HL124045, K01HL124045, K01HL124045, K01HL124045, K01HL124045)

Mayo Clinic Center for Clinical and Translational Science

Mayo Clinic K2R Award
License Information

Text and Data Mining valid from 2022-10-18

Version of Record valid from 2022-10-18
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Article History

Received: 24 November 2020

Accepted: 10 October 2022

First Online: 18 October 2022

Declarations

:

: The study was approved by the Mayo Clinic Institutional Review Board. All methods were carried out in accordance with relevant guidelines and regulations (eg. Helsinki declaration). All patients agreed to have their medical records used for research. The Mayo Clinic Institutional Review Board waived the need for informed consent.

: Not applicable.

: The authors declare that they have no competing interests.

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