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John L. Jefferies

The Cardiovascular Institute, University of Tennessee Health Science Center

United States

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Scholarly Papers (1)

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Artificial Intelligence Assisted Prediction of Late Onset Cardiomyopathy Among Childhood Cancer Survivors

Number of pages: 17 Posted: 13 Oct 2020
Fatma Güntürkün, Oguz Akbilgic, Robert L. Davis, Gregory T. Armstrong, Rebecca M. Howell, John L. Jefferies, Kirsten K. Ness, Ibrahim Karabayir, John T. Lucas Jr., Deo Kumar Srivastava, Melissa M. Hudson, Leslie L. Robison, Elsayed Z. Soliman and Daniel A. Mulrooney
Center for Biomedical Informatics, University of Tennessee Health Science Center, St. Jude Children’s Research Hospital - Department of Epidemiology and Cancer Control, Center for Biomedical Informatics, University of Tennessee Health Science Center, Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital, Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, The Cardiovascular Institute, University of Tennessee Health Science Center, Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital, Health Informatics and Data Science, Loyola University Chicago, St Jude Children’s Research Hospital - Department of Radiation Oncology, Department of Biostatistics, St. Jude Children’s Research Hospital, St Jude Children’s Research Hospital - Department of Oncology, St. Jude Children’s Research Hospital - Department of Epidemiology and Cancer Control, 10Epidemiology and Prevention, Wake Forest School of Medicine and Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital
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Abstract:

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Cardiomyopathy, ECG, signal processing, machine learning, convolutional neural networks