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Muhammad Salman, Hafiz Suliman Munawar, Khalid Latif, Muhammad Waseem Akram, Sara Imran Khan and Fahim Ullah
The detection and classification of drug?drug interactions (DDI) from existing data are of high importance because recent reports show that DDIs are among the major causes of hospital-acquired conditions and readmissions and are also necessary for smart ...
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Mamatjan Abdurxit, Turdi Tohti and Askar Hamdulla
Biomedical entity linking is an important research problem for many downstream tasks, such as biomedical intelligent question answering, information retrieval, and information extraction. Biomedical entity linking is the task of mapping mentions in medic...
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Cyrille YetuYetu Kesiku, Andrea Chaves-Villota and Begonya Garcia-Zapirain
The classification of biomedical literature is engaged in a number of critical issues that physicians are expected to answer. In many cases, these issues are extremely difficult. This can be conducted for jobs such as diagnosis and treatment, as well as ...
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Rania M. Ghoniem, Nawal Alhelwa and Khaled Shaalan
Ontologies are used to model knowledge in several domains of interest, such as the biomedical domain. Conceptualization is the basic task for ontology building. Concepts are identified, and then they are linked through their semantic relationships. Recen...
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Shengyu Liu, Buzhou Tang, Qingcai Chen and Xiaolong Wang
Semantic features are very important for machine learning-based drug name recognition (DNR) systems. The semantic features used in most DNR systems are based on drug dictionaries manually constructed by experts. Building large-scale drug dictionaries is ...
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Shengyu Liu, Buzhou Tang, Qingcai Chen and Xiaolong Wang
Drug name recognition (DNR), which seeks to recognize drug mentions in unstructured medical texts and classify them into pre-defined categories, is a fundamental task of medical information extraction, and is a key component of many medical relation extr...
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