Balanced gradient boosting from imbalanced data for clinical outcome prediction

DOI10.2202/1544-6115.1422zbMATH Open1276.62094OpenAlexW2026836906WikidataQ33437866 ScholiaQ33437866MaRDI QIDQ2864066

Reiji Teramoto

Publication date: 5 December 2013

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2202/1544-6115.1422

zbMATH Keywords

cancerdiagnosisboostingdiabetesensemble learningrenal cell carcinomaimbalanced datacost-sensitive learningclinical outcome

Mathematics Subject Classification ID

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

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