Development, evaluation and comparison of machine learning algorithms for predicting in-hospital patient charges for congestive heart failure exacerbations, chronic obstructive pulmonary disease exacerbations and diabetic ketoacidosis

Abstract Background Hospitalizations for exacerbations of congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD) and diabetic ketoacidosis (DKA) are costly in the United States. The purpose of this study was to predict in-hospital charges for each condition using machine learni...

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Autors principals:	Monique Arnold, Lathan Liou, Mary Regina Boland
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2024-09-01
Col·lecció:	BioData Mining
Matèries:	Machine learning Health informatics Clinical informatics Algorithms Healthcare costs
Accés en línia:	https://doi.org/10.1186/s13040-024-00387-9
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