Statistički pristup izboru optimalnih parametara u dijagnostici nekih bolesti vezivnog tkiva

  • Mira J. Paskota Univerzitet u Beogradu, Saobraćajni fakultet
  • Sanvila S. Rašković Univerzitet u Beogradu, Medicinski fakultet, Klinički centar Srbije, Klinika za alergologiju i imunologiju, Beograd
  • Aleksandra Ž. Perić-Popadić Univerzitet u Beogradu, Medicinski fakultet, Klinički centar Srbije, Klinika za alergologiju i imunologiju, Beograd
  • Vojislav D. Đurić Univerzitet u Beogradu, Medicinski fakultet, Klinički centar Srbije, Klinika za alergologiju i imunologiju, Beograd
  • Žikica M. Jovičić Univerzitet u Beogradu, Medicinski fakultet, Klinički centar Srbije, Klinika za alergologiju i imunologiju, Beograd
  • Aleksandar M. Perović Univerzitet u Beogradu, Saobraćajni fakultet
Ključne reči: multiple correspondence analysis||, ||višestruka analiza korespondencije, dimensionality reduction||, ||redukcija dimenzionalnosti, discriminant analysis||, ||diskriminantna analiza, connective tussue diseases||, ||bolesti vezivnog tkiva, autoimmunity||, ||autoimune bolesti, diagnosis||, ||dijagnostika,

Sažetak


Radi izbora optimalnih parametara u dijagnostici sistemskih autoimunih bolesti, autori su se u ovom radu fokusirali na tzv. reduckiju dimenzionalnosti podataka upotrebom metoda selekcije i ekstrakcije karakterističnih atributa. Višestruka analiza korespondencije korišćena je ne samo za ekstrakciju, već i za ispitivanje same strukture podataka, kao i za detekciju ključnih latentnih promenljivih. Na ekstrahovane latentne promenljive je, primenom diskriminantne analize, korektno klasifikovano 86,5% posmatranih slučajeva. Visoka uspešnost klasifikacije upućuje na realne mogućnosti automatizacije dijagnostičkog procesa, što bi rezultiralo razvojem sistema za podršku u dijagnostici sistemskih bolesti vezivnog tkiva. Ovakvi sistemi omogućuju lakše učenje, bržu i pouzdaniju dijagnostiku i lakšu komunikaciju sa ekspertima iz drugih medicinskih centara.

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Objavljeno
2019/06/12
Rubrika
Originalni naučni radovi