Analysis of Significant Prognostic Factors of Patients with Bladder Cancer Using Self-Organizing Maps-Reference-Cited by-同舟云学术

Analysis of Significant Prognostic Factors of Patients with Bladder Cancer Using Self-Organizing Maps

Published:2013-03 Issue: Volume:199 Page:223-228
ISSN:1662-9779
Container-title:Solid State Phenomena
language:
Short-container-title:SSP

Author:

Kolasa Marta¹,Długosz Rafał¹,Jóźwicki Wojciech²,Pauk Jolanta³,Świetlicka Aleksandra⁴,Farine Pierre André⁵

Affiliation:

1. University of Technology and Life Sciences

2. Nicolaus Copernicus University

3. Bialystok University of Technology

4. Poznań University of Technology

5. Swiss Federal Institute of Technology (EPFL)

Abstract

This study presents a new approach to determine significant prognostic factors for patients suffering from the bladder cancer. The analysis of medical data has been performed by the use of the Kohonen self-organizing map (SOM). The SOM allows visualizing and identifying the prognostic factors indicating which of them are significant. A database comprised of ninety patients has been used in this study. Seven predictors were investigated. The cluster analysis indicates that the significant prognostic factors for the bladder cancer are: histological grade (cG) and stage (cT). The obtained results also showed that the sex and the cG variables are highly correlated and that the number of non-classic differentiation (NDNc) features in bladder cancer is somewhat correlated to surgically removed lymphnode number (LN) and metastatic positive lymphnode number (PLN).

Publisher

Trans Tech Publications, Ltd.

Subject

Condensed Matter Physics,General Materials Science,Atomic and Molecular Physics, and Optics

Link

https://www.scientific.net/SSP.199.223.pdf

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