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Oliver Bear Don't Walk IV

PHD Student at Columbia University Graduate School of Arts and Sciences

I am a Biomedical Informatics student with a strong background in
Machine Learning. I chose Biomedical Informatics because I believe
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I am a Biomedical Informatics student with a strong background in Machine Learning. I chose Biomedical Informatics because I believe that people should benefit from giving their information to data scientists, and that we have an obligation to use tools like machine learning to improve people's lives in meaningful ways. For me this means mining Electronic Health Records for relevant information to patient and physician needs.

My goal as a PhD student is to drive the application of machine learning in health care, with an emphasis on underrepresented minorities. I hope to show other researchers that unique answers can be found in studying the health of underrepresented populations from a Biomedical Informatics perspective.
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C22 The CLinically Explainable Actionable Risk Model

Oliver Bear Don't Walk IV
PHD Student at Columbia University Graduate School of Arts and Sciences
+ 8 speakers
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Machine Learning for Healthcare
August 8, 2020, Online, Los Angeles, CA, USA
Machine Learning for Healthcare
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Machine Learning for Healthcare
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C22 The CLinically Explainable Actionable Risk Model

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Ruijun Chen
Assistant Professor in Translational Data Science and Informatics at Geisinger
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Ruijun Chen

Assistant Professor in Translational Data Science and Informatics at Geisinger
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Victor Rodriguez

MD-PhD Student at Columbia University
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Lisa Liu

PhD Candidate at Columbia Department of Biomedical Informatics
Interested in topic “Artificial Intelligence and Machine Learning”?

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