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Extracting Disease-Phenotype Relations from Text with Disease-Phenotype Concept Recognisers and Association Rule Mining.

, and . CBMS, page 358-363. IEEE Computer Society, (2017)

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BioHackathon series in 2013 and 2014: improvements of semantic interoperability in life science data and services., , , , , , , , , and 66 other author(s). F1000Research, (2019)Building a dictionary of lexical variants for phenotype descriptors., and . BioNLP@ACL, page 186-190. Association for Computational Linguistics, (2016)Tuning Decision Tree Models by Imposing Visual Constraints., , , and . MLDM Posters, page 38-48. ibai Publishing, (2011)Visual Presentation of Mappings Between Biomedical Ontologies., , and . SWAT4LS, volume 952 of CEUR Workshop Proceedings, CEUR-WS.org, (2012)Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients., , , , and . ICONIP (4), volume 1142 of Communications in Computer and Information Science, page 624-632. Springer, (2019)Unsupervised variance based preprocessing of microarray data., , and . CBMS, page 1-4. IEEE Computer Society, (2009)AGRA: analysis of gene ranking algorithms., , , , , , , , and . Bioinform., 27 (8): 1185-1186 (2011)Exploring Temporal Patterns in Emergency Department Triage Notes with Topic Models., , and . ALTA, page 113-117. ACL, (2014)Local Interpretability of Calibrated Prediction Models: A Case of Type 2 Diabetes Mellitus Screening Test., , , and . CoRR, (2020)Sentiment in Science - A Case Study of CBMS Contributions in Years 2003 to 2007., , , and . CBMS, page 138-143. IEEE Computer Society, (2008)