Using Machine Learning to Predict Likelihood and Cause of Readmission After Hospitalization for Chronic Obstructive Pulmonary Disease Exacerbation

Matthew Bonomo1 Pritzker School of Medicine, University of Chicago, Chicago, IL, USAView further author information

Michael G Hermsen1 Pritzker School of Medicine, University of Chicago, Chicago, IL, USAView further author information

Samuel Kaskovich1 Pritzker School of Medicine, University of Chicago, Chicago, IL, USAView further author information

Maximilian J Hemmrich1 Pritzker School of Medicine, University of Chicago, Chicago, IL, USAView further author information

Juan C Rojas2 Department of Medicine, Section of Pulmonary/Critical Care, University of Chicago, Chicago, IL, USAView further author information

Kyle A Carey3 Department of Medicine, Section of General Internal Medicine, University of Chicago, Chicago, IL, USAView further author information

Laura Ruth Venable4 Department of Medicine, Section of Hospitalist Medicine, University of Chicago, Chicago, IL, USAView further author information

Matthew M Churpek5 Department of Medicine, Division of Allergy, Pulmonary and Critical Care Medicine, University of Wisconsin-Madison, Madison, WI, USAView further author information

Valerie G Press3 Department of Medicine, Section of General Internal Medicine, University of Chicago, Chicago, IL, USA;6 Department of Pediatrics, Section of Academic Pediatrics, University of Chicago, Chicago, IL, USACorrespondence[email protected]
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Using Machine Learning to Predict Likelihood and Cause of Readmission After Hospitalization for Chronic Obstructive Pulmonary Disease Exacerbation

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Using Machine Learning to Predict Likelihood and Cause of Readmission After Hospitalization for Chronic Obstructive Pulmonary Disease Exacerbation

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