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Alexander Fenn

Student at Duke University

Alex is a third-year Duke medical student and DIHI scholar primarily
working on the 2019-2020 RFA project ‘Using Machine Learning in
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Alex is a third-year Duke medical student and DIHI scholar primarily working on the 2019-2020 RFA project ‘Using Machine Learning in Emergency Department Patient Flow.’ Alex is planning on applying to Emergency Medicine residency programs in the not-so-distant future. Before joining DIHI and starting medical school, Alex taught third grade for three years in Denver, Colorado. His 10-year career plan is nebulous, but currently involves medical education and wilderness medicine.

In his free time, Alex enjoys run commuting to/from the DIHI office, running long distances when he isn’t in the office, cooking and baking, and backpacking. Alex enjoys coffee from Sweet Bloom, a roaster in his native state of Colorado.
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C12 Development of ML Models to Predict Admission from ED to Inpatient and Intensive Care Units

Alexander Fenn
Student at Duke University
+ 9 speakers
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Machine Learning for Healthcare
August 8, 2020, Online, Los Angeles, USA
Machine Learning for Healthcare
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Machine Learning for Healthcare
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Machine Learning for Healthcare
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C12 Development of ML Models to Predict Admission from ED to Inpatient and Intensive Care Units

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Alexander Fenn
Student at Duke University
+ 9 speakers
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C12 Development of ML Models to Predict Admission from ED to Inpatient and Intensive Care Units

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Mark Sendak

Population Health & Data Science Lead at Duke Institute for Health Innovation
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Suresh Balu

Program Director at Duke School of Medicine
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Connor Davis

AI Health Data Science Fellow at Duke University School of Medicine
Interested in topic “Artificial Intelligence and Machine Learning”?

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