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Using the Patient's Questionnaire Data to Screen Laryngeal Disorders by A. Verikas; A. Gelzinis; M. Bacauskiene; V. Uloza; M. Kaseta is a Medicine article available to read on EtoBox.

What is Using the Patient's Questionnaire Data to Screen Laryngeal Disorders about?

## Query data This paper is concerned with soft computing techniques for screening laryngeal disorders based on patient's questionnaire data. By applying the genetic search, the most important questionnaire statements are determined and a support vector machine (SVM) classifier is designed for categorizing the questionnaire data into the healthy, nodular and diffuse classes. To explore the obtained automated decisions, the curvilinear component analysis (CCA) in the space of decisions as well as questionnaire statements is applied. When testing the developed tools on the set of data collected from 180 patients, the classification accuracy of 85.0% was obtained. Bearing in mind the subjective nature of the data, the obtained classification accuracy is rather encouraging. The CCA allows obtaining ordered two-dimensional maps of the data in various spaces and facilitates the exploration of automated decisions provided by the system and determination of relevant groups of patients for various comparisons.

Who reads Using the Patient's Questionnaire Data to Screen Laryngeal Disorders?

Author

A. Verikas; A. Gelzinis; M. Bacauskiene; V. Uloza; M. Kaseta

Publisher

Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0010-4825)

Published

2009

Language

EN

Field

Medicine (Physical Sciences)