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publications

Machine Learning for Patient Risk Stratification for Acute Respiratory Distress Syndrome

Submitted for publication

In this paper EHR data from hospital patients were used to train a regularized logistic regression model to identify which patients were at highest risk of developing Acute Respiratory Distress Syndrome at any subsequent point in their hospital stay.

Recommended citation: Daniel Zeiberg, Tejas Prahlad, Brahmajee Nallamothu, Theodore J Iwashyna, Jenna Wiens, Michael Sjoding. (2018). "Machine Learning for Patient Risk Stratification for Acute Respiratory Distress Syndrome." Manuscript Submitted for Publication.

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teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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