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

• Main Authors: Peter L Elkin (Author), Sarah Mullin (Author), Jack Mardekian (Author), Christopher Crowner (Author), Sylvester Sakilay (Author), Shyamashree Sinha (Author), Gary Brady (Author), Marcia Wright (Author), Kimberly Nolen (Author), JoAnn Trainer (Author), Ross Koppel (Author), Daniel Schlegel (Author), Sashank Kaushik (Author), Jane Zhao (Author), Buer Song (Author), Edwin Anand (Author)
• Format: Book
• Published: JMIR Publications, 2021-11-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundNonvalvular atrial fibrillation (NVAF) affects almost 6 million Americans and is a major contributor to stroke but is significantly undiagnosed and undertreated despite explicit guidelines for oral anticoagulation. ObjectiveThe aim of this study is to investigate whether the use of semisup...