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Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Facing the Clinical Trial Annotation Problem on Breast Cancer: Natural Language Processing & Machine Learning Models Selection Clinical trial classification problem (CTCP) is one of the cutting-edge real life applications in biomedical informatics, specially in the domain considered in this paper, namely breast cancer. The task consists in the development of mod- els able to discriminate patient’s eligibility profile at breast cancer trials based on performance status (PS) labels. The task has gained relevance at medical research and practice in the framework of decision support systems. Besides, the task has been considered a meaningful instrument for an accurate selection of participants at experimentations resulting in no health-beha (Preprint);2021-07-19
2. Demonstration: Mining Sentence and Annotation Evidence for a Cross Genome Study of the Plant Hormone Ethylene;Lecture Notes in Computer Science;2015
3. Combining Multiple Knowledge Sources: A Case Study of Drug Induced Liver Injury;Lecture Notes in Computer Science;2015
4. Automatic Curation of Clinical Trials Data in LinkedCT;The Semantic Web - ISWC 2015;2015
5. Finding Cross Genome Patterns in Annotation Graphs;Lecture Notes in Computer Science;2012
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