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Circulation
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September 6, 2012
An update on the prognosis of patients with atrial fibrillation
David D McManus, Michiel Rienstra, Emelia J Benjamin
The American Journal of Medicine
|
January 22, 2013
Greater knowledge and appreciation of commonly-used research study designs
Robert J Goldberg, David D McManus, Jeroan Allison
Circulation Research
|
July 28, 2020
Emerging Technologies for Identifying Atrial Fibrillation
Eric Y Ding, Gregory M Marcus, David D McManus
Heart Rhythm
|
June 30, 2009
Inappropriate shock from nonphysiologic noise during implantation of a Boston Scientific COGNIS N119 biventricular implantable cardioverter-defibrillator (CRT-D)
David D McManus, Lawrence S Rosenthal, Dionyssios A Robotis
The American Journal of Medicine
|
September 21, 2013
Commonly used data-collection approaches in clinical research
Jane S Saczynski, David D McManus, Robert J Goldberg
IEEE Transactions on Bio-Medical Engineering
|
November 17, 2011
Automatic motion and noise artifact detection in Holter ECG data using empirical mode decomposition and statistical approaches
Jinseok Lee, David D McManus, Sneh Merchant, et al.
IEEE Transactions on Bio-Medical Engineering
|
May 28, 2013
Time-varying coherence function for atrial fibrillation detection
Jinseok Lee, Yunyoung Nam, David D McManus, et al.
Learning Health Systems
|
June 11, 2026
The HALO Model: A Learning Health System Framework for Artificial Intelligence
Adrian H Zai, Mohammad Adibuzzaman, David D McManus, et al.
JMIR Medical Informatics
|
July 13, 2021
Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study
Avijit Mitra, Bhanu Pratap Singh Rawat, David D McManus, et al.
Current Heart Failure Reports
|
April 3, 2014
Decision-making under uncertainty in advanced heart failure
Theo E Meyer, Michael S Kiernan, David D McManus, et al.
Page
of 40
Search research articles
Search
Showing results (21-30 of 398) with videos related to
Sort By:
Page
of 40
Circulation
|
September 6, 2012
An update on the prognosis of patients with atrial fibrillation
David D McManus, Michiel Rienstra, Emelia J Benjamin
The American Journal of Medicine
|
January 22, 2013
Greater knowledge and appreciation of commonly-used research study designs
Robert J Goldberg, David D McManus, Jeroan Allison
Circulation Research
|
July 28, 2020
Emerging Technologies for Identifying Atrial Fibrillation
Eric Y Ding, Gregory M Marcus, David D McManus
Heart Rhythm
|
June 30, 2009
Inappropriate shock from nonphysiologic noise during implantation of a Boston Scientific COGNIS N119 biventricular implantable cardioverter-defibrillator (CRT-D)
David D McManus, Lawrence S Rosenthal, Dionyssios A Robotis
The American Journal of Medicine
|
September 21, 2013
Commonly used data-collection approaches in clinical research
Jane S Saczynski, David D McManus, Robert J Goldberg
IEEE Transactions on Bio-Medical Engineering
|
November 17, 2011
Automatic motion and noise artifact detection in Holter ECG data using empirical mode decomposition and statistical approaches
Jinseok Lee, David D McManus, Sneh Merchant, et al.
IEEE Transactions on Bio-Medical Engineering
|
May 28, 2013
Time-varying coherence function for atrial fibrillation detection
Jinseok Lee, Yunyoung Nam, David D McManus, et al.
Learning Health Systems
|
June 11, 2026
The HALO Model: A Learning Health System Framework for Artificial Intelligence
Adrian H Zai, Mohammad Adibuzzaman, David D McManus, et al.
JMIR Medical Informatics
|
July 13, 2021
Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study
Avijit Mitra, Bhanu Pratap Singh Rawat, David D McManus, et al.
Current Heart Failure Reports
|
April 3, 2014
Decision-making under uncertainty in advanced heart failure
Theo E Meyer, Michael S Kiernan, David D McManus, et al.
Page
of 40