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Applications of Machine Learning in Decision Analysis for Dose Management for Dofetilide

Andrew E Levy, Minakshi Biswas, Rachel Weber, Khaldoun Tarakji, Mina Chung, Peter A. Noseworthy, Christopher Newton-Cheh, Michael A Rosenberg
doi: https://doi.org/10.1101/531285
Andrew E Levy
Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA;
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  • For correspondence: andrew.levy@ucdenver.edu
Minakshi Biswas
Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA;
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  • For correspondence: minakshi.biswas@ucdenver.edu
Rachel Weber
Division of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, USA;
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  • For correspondence: rachel.weber@ucdenver.edu
Khaldoun Tarakji
Center for Atrial Fibrillation, Section of Cardiac Pacing and Electrophysiology, Cleveland Clinic;
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  • For correspondence: tarakjk@ccf.org
Mina Chung
Center for Atrial Fibrillation, Section of Cardiac Pacing and Electrophysiology, Cleveland Clinic;
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  • For correspondence: chungm@ccf.org
Peter A. Noseworthy
Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rocheste;
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  • For correspondence: noseworthy.peter@mayo.edu
Christopher Newton-Cheh
Cardiovascular Res. Center, Dept. Medicine, Massachusetts General Hospital & Harvard Medical School;
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  • For correspondence: cnewtoncheh@mgh.harvard.edu
Michael A Rosenberg
University of Colorado School of Medicine
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  • For correspondence: michael.a.rosenberg@ucdenver.edu
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Posted January 27, 2019.
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Applications of Machine Learning in Decision Analysis for Dose Management for Dofetilide
Andrew E Levy, Minakshi Biswas, Rachel Weber, Khaldoun Tarakji, Mina Chung, Peter A. Noseworthy, Christopher Newton-Cheh, Michael A Rosenberg
bioRxiv 531285; doi: https://doi.org/10.1101/531285
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Applications of Machine Learning in Decision Analysis for Dose Management for Dofetilide
Andrew E Levy, Minakshi Biswas, Rachel Weber, Khaldoun Tarakji, Mina Chung, Peter A. Noseworthy, Christopher Newton-Cheh, Michael A Rosenberg
bioRxiv 531285; doi: https://doi.org/10.1101/531285

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