Statistical approach to selecting the optimal parameters for diagnosis of some connective tissue diseases / Статистический метод выбора оптимальных параметров для диагностики некоторых заболеваний соединительной ткани / Statistički pristup izboru optimalnih parametara u dijagnostici nekih bolesti vezivnog tkiva

In order to choose the optimal parameters for easier diagnosis of systemic autoimmune diseases, the authors focused on data dimensionality reduction, using both feature selection and feature extraction. The Multiple Correspondence Analysis was used as a feature extraction method, with the aim of...

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Bibliographic Details
Main Authors:	Mira J. Paskota, Sanvila S. Rašković, Aleksandra Ž. Perić-Popadić, Vojislav D. Đurić, Žikica M. Jovičić, Aleksandar M. Perović
Format:	Article
Language:	English
Published:	University of Defence in Belgrade 2019-07-01
Series:	Vojnotehnički Glasnik
Subjects:	multiple correspondence analysis dimensionality reduction discriminant analysis connective tussue diseases autoimmunity diagnosis aнализ множественной корреспонденции редукция размерности дискриминативный анализ заболевания соединительной ткани автоиммунные заболевания диагностика višestruka analiza korespondencije redukcija dimenzionalnosti diskriminantna analiza bolesti vezivnog tkiva autoimune bolesti dijagnostika
Online Access:	https://scindeks-clanci.ceon.rs/data/pdf/0042-8469/2019/0042-84691903538P.pdf

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https://scindeks-clanci.ceon.rs/data/pdf/0042-8469/2019/0042-84691903538P.pdf

Internet

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