2019
DOI: 10.1007/978-3-030-17935-9_49
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Comparative Study of Feature Selection Methods for Medical Full Text Classification

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Cited by 1 publication
(2 citation statements)
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“…The positive data comprises about 14,000 DILI-related papers referenced in the NIH LiverTox database ( Adriano Gonçalves et al, 2019 ), which have been validated by a panel of DILI experts. This positive reference is split 50:50 into one part released for the challenge and one withheld for final performance testing.…”
Section: Experimental Workmentioning
confidence: 99%
See 1 more Smart Citation
“…The positive data comprises about 14,000 DILI-related papers referenced in the NIH LiverTox database ( Adriano Gonçalves et al, 2019 ), which have been validated by a panel of DILI experts. This positive reference is split 50:50 into one part released for the challenge and one withheld for final performance testing.…”
Section: Experimental Workmentioning
confidence: 99%
“…Several studies conducted feature selection on biomedical text documents for text classification purposes. ( Adriano Gonçalves et al, 2019 ) proposed a novel feature selection algorithm for full-text classification entitled “k-best-Discriminative-Terms”. For each class value, the average term frequency-inverse document frequency (TF-IDF) metric is calculated for each term; then, the difference is measured between corresponding values of terms in both classes to find frequent terms in one class but infrequent in the other.…”
Section: Introductionmentioning
confidence: 99%