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
, MD ;
Sarah Mullin
1
, PHO ;
Jack Mardekian
4
, PhD ;
Christopher Crowner
1
, MSc ;
Sylvester Sakilay
1
, MSc ;
Shyamashree Sinha
1
, MSc, MD ;
Gary Brady
4
, DPH ;
Marcia Wright
4
, PharmD ;
Kimberly Nolen
4
, PharmD ;
JoAnn Trainer
4
, PharmD ;
Ross Koppel
1
, PhD ;
Daniel Schlegel
1
, PhD ;
Sashank Kaushik
1
, MD ;
Jane Zhao
1
, MD ;
Buer Song
1
, MD, PhD ;
Edwin Anand
1
, MD
1
Department of Biomedical Informatics, University at Buffalo, Buffalo, NY, United States
2
Bioinformatics Laboratory, Department of Veterans Affairs, VA Western New York Healthcare System, Buffalo, NY, United States
3
School of Engineering, University of Southern Denmark, Odense, Denmark
4
Pfizer, Inc., New York, NY, United States
Corresponding Author:
-
Peter L Elkin, MD
-
Department of Biomedical Informatics
-
University at Buffalo
-
77 Goodell St
-
Suite 5t40
-
Buffalo, NY, 14203
-
United States
-
Phone:
1 5073581341
-
Email: elkinp@buffalo.edu