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2019 | OriginalPaper | Buchkapitel

Prediction of Diabetic Patient Readmission Using Machine Learning

verfasst von : Juan Camilo Ramírez, David Herrera

Erschienen in: Applications of Computational Intelligence

Verlag: Springer International Publishing

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Abstract

Hospital readmissions pose additional costs and discomfort for the patient and their occurrences are indicative of deficient health service quality, hence efforts are generally made by medical professionals in order to prevent them. These endeavors are especially critical in the case of chronic conditions, such as diabetes. Recent developments in machine learning have been successful at predicting readmissions from the medical history of the diabetic patient. However, these approaches rely on a large number of clinical variables thereby requiring deep learning techniques. This article presents the application of simpler machine learning models achieving superior prediction performance while making computations more tractable.

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Titel: Prediction of Diabetic Patient Readmission Using Machine Learning
verfasst von: Juan Camilo Ramírez
David Herrera
Verlag: Springer International Publishing
Buch: Applications of Computational Intelligence
Print ISBN: 978-3-030-36210-2

Electronic ISBN: 978-3-030-36211-9

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-36211-9_7

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