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Title: The Learning System by the Least Squares Support Vector Machine Method and its Application in Medicine, Journal of Telecommunications and Information Technology, 2011, nr 3

Creator:

Baszun, Mikołaj ; Szewczyk, Paweł

Date:

2011, nr 3

Resource Type:

artykuł

Description:

In the paper it has been presented the possibility of using the least squares support vector machine to the initial diagnosis of patients. In order to find some optimal parameters making the work of the algorithm more detailed, the following techniques have been used: K-fold Cross Validation, Grid-Search, Particle Swarm Optimization. The result of the classification has been checked by some labels assigned by an expert. The created system has been tested on the artificially made data and the data taken from the real database. The results of the computer simulations have been presented in two forms: numerical and graphic. All the algorithms have been implemented in the C# language.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Resource Identifier:

oai:bc.itl.waw.pl:1189 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2011.3.1165

ISSN:

1509-4553

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

classification Support Vector Machine Grid-Search Particle Swarm Optimization patients diagnosis

Object collections:

Last modified:

Aug 29, 2024

In our library since:

May 15, 2013

Number of object content hits:

120

All available object's versions:

https://bc.itl.waw.pl/publication/1494

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Edition name Date
Szewczyk, Paweł; Baszun, Mikołaj, 2011, nr 3, The Learning System by the Least Squares Support Vector Machine Method and its Application in Medicine, Journal of Telecommunications and Information Technology, 2011, nr 3 Aug 29, 2024

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(+48) 5128 696

E-Mail

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