Comparison of the data classification approaches to diagnose spinal cord injury

DOI10.1155/2012/803980zbMath1417.92067OpenAlexW2061444011WikidataQ34219696 ScholiaQ34219696MaRDI QIDQ764221

Yunus Ziya Arslan, Rustu Murat Demirer, Safak Sahir Karamehmetoglu, Mukden Ugur, Deniz Palamar

Publication date: 13 March 2012

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/803980

zbMATH Keywords

artificial neural networkssupport vector machinesdiagnosisdata classificationspinal cord injuryhierarchical cluster tree analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05) Medical applications (general) (92C50)

Cites Work

• Solving non-uniqueness in agglomerative hierarchical clustering using multidendrograms
• Estimation of dependences based on empirical data. Transl. from the Russian by Samuel Kotz
• Support-vector networks
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