Kristina Doing-Harris,Bruce E Bray,Anne Thackeray et al.
Kristina Doing-Harris et al.
Background: A Cardiac-centered Frailty Ontology can be an important foundation for using NLP to assess patient frailty. Frailty is an important consideration when making patient treatment decisions, particularly in older ...
Rey-Long Liu
Rey-Long Liu
Background: Conclusive association entities (CAEs) in a biomedical article a are those biomedical entities (e.g., genes, diseases, and chemicals) that are specifically involved in the associations concluded in a. Identifi...
Investigating the role of interleukin-1 beta and glutamate in inflammatory bowel disease and epilepsy using discovery browsing [0.03%]
利用发现式浏览研究白细胞介素-1β和谷氨酸在炎症性肠病和癫痫中的作用
Thomas C Rindflesch,Catherine L Blake,Michael J Cairelli et al.
Thomas C Rindflesch et al.
Background: Structured electronic health records are a rich resource for identifying novel correlations, such as co-morbidities and adverse drug reactions. For drug development and better understanding of biomedical pheno...
Alejandro Metke-Jimenez,Jim Steel,David Hansen et al.
Alejandro Metke-Jimenez et al.
Background: Even though several high-quality clinical terminologies, such as SNOMED CT and LOINC, are readily available, uptake in clinical systems has been slow and many continue to capture information in plain text or u...
Using predicate and provenance information from a knowledge graph for drug efficacy screening [0.03%]
利用知识图谱的谓词和数据来源信息进行药物筛选研究
Wytze J Vlietstra,Rein Vos,Anneke M Sijbers et al.
Wytze J Vlietstra et al.
Background: Biomedical knowledge graphs have become important tools to computationally analyse the comprehensive body of biomedical knowledge. They represent knowledge as subject-predicate-object triples, in which the pre...
Muhammad Amith,Cui Tao
Muhammad Amith
Background: In this paper, we discuss the design and development of a formal ontology to describe misinformation about vaccines. Vaccine misinformation is one of the drivers leading to vaccine hesitancy in patients. While...
Biomedical ontology alignment: an approach based on representation learning [0.03%]
基于表示学习的生物医学本体对齐方法研究
Prodromos Kolyvakis,Alexandros Kalousis,Barry Smith et al.
Prodromos Kolyvakis et al.
Background: While representation learning techniques have shown great promise in application to a number of different NLP tasks, they have had little impact on the problem of ontology matching. Unlike past work that has f...
Ying Shen,Daoyuan Chen,Buzhou Tang et al.
Ying Shen et al.
Background: Entropy has become increasingly popular in computer science and information theory because it can be used to measure the predictability and redundancy of knowledge bases, especially ontologies. However, curren...
Junxiang Wang,Liang Zhao,Yanfang Ye et al.
Junxiang Wang et al.
Background: Vaccine has been one of the most successful public health interventions to date. However, vaccines are pharmaceutical products that carry risks so that many adverse events (AEs) are reported after receiving va...
Disease mentions in airport and hospital geolocations expose dominance of news events for disease concerns [0.03%]
机场和医院地理位置中的疾病提及暴露了新闻事件对疾病关注的主导地位
Joana M Barros,Jim Duggan,Dietrich Rebholz-Schuhmann
Joana M Barros
Background: In recent years, Twitter has been applied to monitor diseases through its facility to monitor users' comments and concerns in real-time. The analysis of tweets for disease mentions should reflect not only user...