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Comparative Analysis of Question Answering Models for HRI Tasks with NAO in Spanish Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Graph Theory Applied to International Code of Diseases (ICD) in a Hospital

Authors : C. Boldorini Jr., C. D. G. Euzebio, L. P. Porto, A. S. Martinez, E. E. S. Ruiz

Published in: Information Management and Big Data

Publisher: Springer International Publishing

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Abstract

We analyze comorbidity from a set of International Code of Diseases (ICD) records from a tertiary level hospital based on the graph theory. Comorbidity is the simultaneous presence of two or more diseases or conditions in a patient. A total of 36,236 patient health records, containing 80,253 ICD code notifications, have been studied. We show that over 43.0% of all comorbidities can be determined from the dominant graph edges. This study goes beyond a first-order statistical analysis. ICD graph chapters can be used to understand patient flow in hospital specialties and may also be used to quantify inter and intra-relationships among major hospitalization events. Our result could help plan hospital organization arranging sectors highly correlated close together.

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Metadata
Title
Graph Theory Applied to International Code of Diseases (ICD) in a Hospital
Authors
C. Boldorini Jr.
C. D. G. Euzebio
L. P. Porto
A. S. Martinez
E. E. S. Ruiz
Copyright Year
2021
Book
Information Management and Big Data

Print ISBN: 978-3-030-76227-8

Electronic ISBN: 978-3-030-76228-5

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-76228-5_38

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