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From Literature to Knowledge: Exploiting PubMed to Answer Biomedical Questions in Natural Language Read chapter Read first chapter

2015 | OriginalPaper | Chapter

How to Increase the Effectiveness of the Hepatitis Diagnostics by Means of Appropriate Machine Learning Methods

Authors : Alexandra Lukáčová, František Babič, Zuzana Paraličová, Ján Paralič

Published in: Information Technology in Bio- and Medical Informatics

Publisher: Springer International Publishing

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Abstract

This paper presents how to improve the diagnostic process of hepatitis B and C based on collected questionnaires from patients hospitalized in all regional departments of infectology in Slovakia. Performed experiments were oriented in two directions: economic demands of the recommended treatment based on realized diagnostics and possible improvement of hepatitis diagnostics by means of exploratory and predictive analysis of additional information provided by patients. Exploratory data analysis was used to confirm or to reject some expected relationships between input attributes (e.g. ager or gender) and target diagnosis. Also, predictive mining resulted into interesting decision rules that can be used in medical practice as supporting information at an early stage of the diagnostic process. Finally, analysis of the treatment economic demands based on the estimated costs showed the need for timely and quality diagnostics to minimize the percentage of patients for which was hepatitis diagnosed late.

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previous chapter Artificial Neural Networks in Diagnosis of Liver Diseases
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Footnotes
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Metadata
Title
How to Increase the Effectiveness of the Hepatitis Diagnostics by Means of Appropriate Machine Learning Methods
Authors
Alexandra Lukáčová
František Babič
Zuzana Paraličová
Ján Paralič
Copyright Year
2015
Book
Information Technology in Bio- and Medical Informatics

Print ISBN: 978-3-319-22740-5

Electronic ISBN: 978-3-319-22741-2

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-22741-2_8

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