Cilia E Zayas,Justin M Whorton,Kevin W Sexton et al.
Cilia E Zayas et al.
Background: Clinical early warning scoring systems, have improved patient outcomes in a range of specializations and global contexts. These systems are used to predict patient deterioration. A multitude of patient-level p...
Automatic classification of experimental models in biomedical literature to support searching for alternative methods to animal experiments [0.03%]
自动分类实验模型以支持生物医学文献中寻找替代动物实验的方法
Mariana Neves,Antonina Klippert,Fanny Knöspel et al.
Mariana Neves et al.
Current animal protection laws require replacement of animal experiments with alternative methods, whenever such methods are suitable to reach the intended scientific objective. However, searching for alternative methods in the scientific l...
Maryam Basereh,Annalina Caputo,Rob Brennan
Maryam Basereh
Background: This paper proposes Cyrus, a new transparency evaluation framework, for Open Knowledge Extraction (OKE) systems. Cyrus is based on the state-of-the-art transparency models and linked data quality assessment di...
Multi-domain knowledge graph embeddings for gene-disease association prediction [0.03%]
跨领域知识图嵌入的基因关联疾病预测
Susana Nunes,Rita T Sousa,Catia Pesquita
Susana Nunes
Background: Predicting gene-disease associations typically requires exploring diverse sources of information as well as sophisticated computational approaches. Knowledge graph embeddings can help tackle these challenges b...
An extension of the BioAssay Ontology to include pharmacokinetic/pharmacodynamic terminology for the enrichment of scientific workflows [0.03%]
生物 assay 本体论的扩展，包括药代动力学/药效学术语以丰富科学工作流程
Steve Penn,Jane Lomax,Anneli Karlsson et al.
Steve Penn et al.
With the capacity to produce and record data electronically, Scientific research and the data associated with it have grown at an unprecedented rate. However, despite a decent amount of data now existing in an electronic form, it is still c...
Sarah M Alghamdi,Robert Hoehndorf
Sarah M Alghamdi
Motivation: Phenotypes are observable characteristics of an organism and they can be highly variable. Information about phenotypes is collected in a clinical context to characterize disease, and is also collected in model...
Oshani Seneviratne,Amar K Das,Shruthi Chari et al.
Oshani Seneviratne et al.
Background: Clinical decision support systems have been widely deployed to guide healthcare decisions on patient diagnosis, treatment choices, and patient management through evidence-based recommendations. These recommend...
FAIR-Checker: supporting digital resource findability and reuse with Knowledge Graphs and Semantic Web standards [0.03%]
基于知识图谱和语义网络标准的数字资源查找性和重用性的检测工具
Alban Gaignard,Thomas Rosnet,Frédéric De Lamotte et al.
Alban Gaignard et al.
The current rise of Open Science and Reproducibility in the Life Sciences requires the creation of rich, machine-actionable metadata in order to better share and reuse biological digital resources such as datasets, bioinformatics tools, tra...
Fuqi Xu,Nick Juty,Carole Goble et al.
Fuqi Xu et al.
Background: The Findable, Accessible, Interoperable and Reusable(FAIR) Principles explicitly require the use of FAIR vocabularies, but what precisely constitutes a FAIR vocabulary remains unclear. Being able to define FAI...
Multiple sampling schemes and deep learning improve active learning performance in drug-drug interaction information retrieval analysis from the literature [0.03%]
基于文献的药物相互作用信息检索分析中多种抽样方案和深度学习提升主动学习性能
Weixin Xie,Kunjie Fan,Shijun Zhang et al.
Weixin Xie et al.
Background: Drug-drug interaction (DDI) information retrieval (IR) is an important natural language process (NLP) task from the PubMed literature. For the first time, active learning (AL) is studied in DDI IR analysis. DD...