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

, , , , , , , , , , , and . BMC Medical Informatics Decis. Mak., 22 (1): 272 (December 2022)

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Leveraging Electronic Health Records for Identification of Features Associated with Sudden Death for Hypertrophic Cardiomyopathy Patients., , , , , , , , , and 1 other author(s). AMIA, AMIA, (2018)An Academic Healthcare Twitter Account: The Mayo Clinic Experience., , , , and . Cyberpsy., Behavior, and Soc. Networking, 19 (6): 360-366 (2016)Biventricular Involvement In Hypertrophic Cardiomyopathy: Preliminary Analysis Of Cardiac MRIs With Visual Right Ventricular Hypertrophy., , , , , , , , , and 2 other author(s). ICHI, page 134-137. IEEE, (2022)Automated extraction of sudden cardiac death risk factors in hypertrophic cardiomyopathy patients by natural language processing., , , , , , , , , and 3 other author(s). Int. J. Medical Informatics, (2019)Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation., , , , , , , , , and 6 other author(s). J. Imaging, 8 (5): 149 (2022)Natural language processing for identification of hypertrophic cardiomyopathy patients from cardiac magnetic resonance reports., , , , , , , , , and 2 other author(s). BMC Medical Informatics Decis. Mak., 22 (1): 272 (December 2022)