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Faizi Fifita, Jordan Smith, Melissa B. Hanzsek-Brill, Xiaoyin Li and Mengshi Zhou
The spread of fake news related to COVID-19 is an infodemic that leads to a public health crisis. Therefore, detecting fake news is crucial for an effective management of the COVID-19 pandemic response. Studies have shown that machine learning models can...
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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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Olatunji Akinola, Olaide N. Oyelade and Absalom E. Ezugwu
In the past decade, the extraction of valuable information from online biomedical datasets has exponentially increased due to the evolution of data processing devices and the utilization of machine learning capabilities to find useful information in thes...
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Stephen A. Allegri, Kevin McCoy and Cassie S. Mitchell
Large networks are quintessential to bioinformatics, knowledge graphs, social network analysis, and graph-based learning. CompositeView is a Python-based open-source application that improves interactive complex network visualization and extraction of ac...
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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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