Identification of recurrent atrial fibrillation using natural language processing applied to electronic health records

By sjmartinez • January 16, 2024

Zheng C, Lee MS, Bansal N, Go AS, Chen C, Harrison TN, Fan D, Allen A, Garcia E, Lidgard B, Singer D, An J. Identification of recurrent atrial fibrillation using natural language processing applied to electronic health records. Eur Heart J Qual Care Clin Outcomes. 2024 Jan 12;10(1):77-88. doi: 10.1093/ehjqcco/qcad021. PMID: 36997334; PMCID: PMC10785579.

Tags: Artificial intelligence, atrial fibrillation, Cardiology/Epi, electronic health record, Kaiser, natural language processing, Publications, recurrence

Fatty Acid and Oxylipin Metabolism Differentiate Isolated Postcapillary From Combined Pre- and Postcapillary Pulmonary Hypertension

Alotaibi M, Tang A, Sun N, Gurholt I, Yuguchi E, Roberts K, Preston I, Warburton R, Yuan JX, Kim NH, Chan SY, Jain M, Cheng[...]

Artificial intelligence-enabled electrocardiography for detection of left ventricular diastolic dysfunction: a systematic review and meta-analysis

Edjimbi J, Shah N, Donisi L, Gajjar A, See C, Grimshaw AA, Diop HB, Ribeiro ALP, Marijon E, Clifford G, Gaye B. Artificial intelligence-enabled electrocardiography[...]

Heart failure among people with HIV: prescription of guideline-directed medical therapy

Cutshaw MK, Clare R, Chiswell K, Hofmann P, Pettit AC, Meissner E, Durstenfeld MS, Longenecker CT, Bloomfield GS, Okeke NL. Heart failure among people with[...]