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A non-linear SVR-based cascade model for improving prediction accuracy of biomedical data analysis.
Izonin, Ivan; Tkachenko, Roman; Gurbych, Olexander; Kovac, Michal; Rutkowski, Leszek; Holoven, Rostyslav.
Affiliation
  • Izonin I; Department of Artificial Intelligence, Institute of Computer Sciences and Information Technologies, Lviv Polytechnic National University, Lviv, Ukraine.
  • Tkachenko R; Department of Publishing Information Technologies, Institute of Computer Sciences and Information Technologies, Lviv Polytechnic National University, Lviv, Ukraine.
  • Gurbych O; Department of Artificial Intelligence, Institute of Computer Sciences and Information Technologies, Lviv Polytechnic National University, Lviv, Ukraine.
  • Kovac M; Faculty of Informatics and Information Technologies, Slovak University of Technology, Bratislava, Slovak Republic.
  • Rutkowski L; Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland.
  • Holoven R; AGH University of Science and Technology, Krakow, Poland.
Math Biosci Eng ; 20(7): 13398-13414, 2023 06 12.
Article in En | MEDLINE | ID: mdl-37501493
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Medical Informatics / Support Vector Machine / Data Analysis Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Math Biosci Eng Year: 2023 Document type: Article Affiliation country: Ucrania Country of publication: Estados Unidos
Fulltext
Add to My VHL
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XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Medical Informatics / Support Vector Machine / Data Analysis Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Math Biosci Eng Year: 2023 Document type: Article Affiliation country: Ucrania Country of publication: Estados Unidos