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IEEE Transactions on Cybernetics, ISSN 2168-2267, 02/2015, Volume 45, Issue 2, pp. 177 - 190
Traditional random subspace-based classifier ensemble approaches (RSCE) have several limitations, such as viewing the same importance for the base classifiers... 
Training | Accuracy | decision tree | random subspace | classifier ensemble | optimization | Educational institutions | Decision trees | Gene expression | Adaptive processes | Cancer | TESTS | EVOLUTIONARY | FUSION | ALGORITHM | COMBINING CLASSIFIERS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | COMPUTER SCIENCE, CYBERNETICS | INTELLIGENCE | GENE-EXPRESSION DATA | AUTOMATION & CONTROL SYSTEMS
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Cancer Cytopathology, ISSN 1934-662X, 11/2019, Volume 127, Issue 11, pp. 720 - 724
Background The use of fine‐needle aspiration (FNA) to triage thyroid nodules has resulted in a significant reduction in thyroid surgery. However, approximately... 
cytology | fine‐needle aspiration (FNA) | gene expression classifier (GEC) | genomic sequencing classifier (GSC) | thyroid | molecular | Afirma | Usage | Nucleotide sequencing | Research | Biopsy, Needle | Comparative analysis | Gene expression | DNA sequencing
Journal Article
The Journal of Clinical Endocrinology & Metabolism, ISSN 0021-972X, 01/2014, Volume 99, Issue 1, pp. 119 - 125
Journal Article
PLoS ONE, ISSN 1932-6203, 06/2013, Volume 8, Issue 6, p. e66855
Journal Article
Health Informatics Journal, ISSN 1460-4582, 2018, p. 146045821881780
Journal Article
Journal Article
Knowledge-Based Systems, ISSN 0950-7051, 2011, Volume 24, Issue 6, pp. 775 - 784
Many algorithms have been proposed for the machine learning task of classification. One of the simplest methods, the naive Bayes classifier, has often been... 
Logistic regression | UCI data sets | Breast cancer | Naive Bayes | Supervised learning | SURVIVAL | GENE-EXPRESSION SIGNATURE | INCOMPLETE DATA | HUMAN BREAST-TUMORS | CANCER | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article