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MESS: A Multilingual Error based String Similarity measure for transliterated name variants.

, , , и . FIRE, стр. 47-50. ACM, (2015)

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A survey on literature based discovery approaches in biomedical domain., , , и . J. Biomed. Informatics, (2019)A Survey on Context Learning., , , и . IEEE Trans. Knowl. Data Eng., 29 (1): 38-56 (2017)DWE-Med: Dynamic Word Embeddings for Medical Domain., , , и . ACM Trans. Knowl. Discov. Data, 13 (2): 19:1-19:21 (2019)Adaptive Epidemic Forecasting and Community Risk Evaluation of COVID-19., , , , , , , , , и . CoRR, (2021)Augmenting word embeddings through external knowledge-base for biomedical application., , , и . IEEE BigData, стр. 1965-1974. IEEE Computer Society, (2017)Topic Discovery for Short Texts Using Word Embeddings., , , , , и . ICDM, стр. 1299-1304. IEEE Computer Society, (2016)Data-driven Risk Characterization and Prediction of Renal Failure among Diabetic Type 2 Patients using Electronic Medical Records., , , и . AMIA, AMIA, (2017)MESS: A Multilingual Error based String Similarity measure for transliterated name variants., , , и . FIRE, стр. 47-50. ACM, (2015)Matching Titles with Cross Title Web-Search Enrichment and Community Detection., , , , и . Proc. VLDB Endow., 7 (12): 1167-1178 (2014)Towards self-learning based hypotheses generation in biomedical text domain., , , , и . Bioinform., 34 (12): 2103-2115 (2018)