Kernelized multitask learning method for personalized signaling adverse drug reactions
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Yang, Fan ORCID: 0000-0003-0717-5420, Xue, Fuzhong, Zhang, Yanchun ORCID: 0000-0002-5094-5980 and Karypis, George (2021) Kernelized multitask learning method for personalized signaling adverse drug reactions. IEEE Transactions on Knowledge and Data Engineering, 35 (2). pp. 1681-1694. ISSN 1041-4347
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Item type | Article |
URI | https://vuir.vu.edu.au/id/eprint/47114 |
DOI | 10.1109/TKDE.2021.3108819 |
Official URL | https://ieeexplore.ieee.org/document/9527143 |
Subjects | Current > FOR (2020) Classification > 4602 Artificial intelligence Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
Keywords | adverse drug reactions, ADRs, drugs, kernalised multitask learning mode, KEMULA, adverse event |
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