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.