We found that several classifiers performed well in distinguishing relevant and irrelevant abstracts. We found that the combination of unigram and bigram ...
EVALUATION OF LINEAR CLASSIFIERS ON ARTICLES CONTAINING. PHARMACOKINETIC EVIDENCE OF DRUG-DRUG INTERACTIONS. A. KOLCHINSKY. School of Informatics and Computing ...
Experiments: We implemented a set of classifiers for identifying published articles relevant to experimental pharmacokinetic DDI evidence. These documents are ...
Evaluation of linear classifiers on articles containing ...
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Evaluation of linear classifiers on articles containing pharmacokinetic evidence of drug-drug interactions. A. Kolchinsky, A. Lourenço, L. Li, L. M. Rocha.
Jul 7, 2022 · Bibliographic details on Evaluation of Linear Classifiers on Articles Containing Pharmacokinetic Evidence of Drug-Drug Interactions.
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Evaluation of Linear Classifiers on Articles Containing Pharmacokinetic Evidence of Drug-Drug Interactions. AuthID. P-014-7JB. 4. Author(s). Kolchinsky A.
May 11, 2015 · Evaluation of linear classifiers on articles containing pharmacokinetic evidence of drug-drug interactions. Pacific Symposium on ...
Experiments. We implemented a set of classifiers for identifying published articles relevant to experimental pharmacokinetic DDI evidence. These documents are ...
... Evaluation of Linear Classifiers on Articles Containing Pharmacokinetic Evidence of Drug-Drug Interactions. In: Pacific Symposium on Biocomputing (2013).
Jan 28, 2022 · In this paper, we review the research progress of machine learning in predicting unknown drug interactions.