Analysis of Feature Extraction Methods for Prediction of 30-Day Hospital Readmissions.

Journal: Methods of information in medicine

Published Date: Apr 29, 2020

Abstract

OBJECTIVES: This article aims to determine possible improvements made by feature extraction methods to the machine learning prediction methods for predicting 30-day hospital readmissions.

Authors

Joel Sumner

Department of Mechanical Engineering, The University of Texas at San Antonio, San Antonio, Texas, United States.
Adel Alaeddini

Department of Mechanical Engineering, The University of Texas at San Antonio, San Antonio, Texas, United States.

Keywords

Algorithms Area Under Curve Databases as Topic Humans Information Storage and Retrieval Machine Learning Patient Readmission Risk Factors

External Resources

View on PubMed Access via DOI PubMed (32349155)

Analysis of Feature Extraction Methods for Prediction of 30-Day Hospital Readmissions.

Abstract

Authors

Keywords

External Resources

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