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Accessible Artificial Intelligence for Data Science

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Machine Learning Methods for Kidney Disease Prediction and Risk Factor Discovery

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State of the Department 2018

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Total Exposure Health: True Primary Prevention Unlocking the Provider Patient Connection

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Knowledge-based Biomedical Data Science

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Inpatient Progress Notes: How Can We Make Progress?

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Data Science at the New York Times

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Exposome Informatics

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Think Big, Build Small, and Evolve: A Recipe for Innovation Through Implementation

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Inferring Helpful and Harmful Drug Effects with Distributed Representations of Knowledge Extracted from the Biomedical Literature

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A Journey through Biomedical Research Reproducibility

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Associate Dean for Digital Health and Informatics and Director of the Centre for Clinical and Public Health Informatics, University of Melbourne in Australia

Why I studied Biomedical Informatics at the University of Utah

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Staff Scientist, National Institute of Health

Why I studied Biomedical Informatics at the University of Utah

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Adjunct Faculty, College of Nursing, University of Utah and Health Services

Why I studied Biomedical Informatics at the University of Utah

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Medical Informaticist, 3M Health Information Systems, Inc.

Why I studied Biomedical Informatics at the University of Utah

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Research Assistant Professor, University of Utah

Why I studied Biomedical Informatics at the University of Utah

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