Published on 9.11.2021 in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28946, first published March 19, 2021.

Using Artificial Intelligence With Natural Language Processing to Combine Electronic Health Record’s Structured and Free Text Data to Identify Nonvalvular Atrial Fibrillation to Decrease Strokes and Death: Evaluation and Case-Control Study

Using Artificial Intelligence With Natural Language Processing to Combine Electronic Health Record’s Structured and Free Text Data to Identify Nonvalvular Atrial Fibrillation to Decrease Strokes and Death: Evaluation and Case-Control Study

Using Artificial Intelligence With Natural Language Processing to Combine Electronic Health Record’s Structured and Free Text Data to Identify Nonvalvular Atrial Fibrillation to Decrease Strokes and Death: Evaluation and Case-Control Study

Peter L Elkin^{1, 2, 3}

; Sarah Mullin¹

; Jack Mardekian⁴

; Christopher Crowner¹

; Sylvester Sakilay¹

; Shyamashree Sinha¹

; Gary Brady⁴

; Marcia Wright⁴

; Kimberly Nolen⁴

; JoAnn Trainer⁴

; Ross Koppel¹

; Daniel Schlegel¹

; Sashank Kaushik¹

; Edwin Anand¹

Article Authors Cited by (14) Tweetations (11) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Daily | Monthly | Annually