Natalia Grabar,Clément Dalloux,Vincent Claveau
Natalia Grabar
Background: Textual corpora are extremely important for various NLP applications as they provide information necessary for creating, setting and testing those applications and the corresponding tools. They are also crucia...
Neural side effect discovery from user credibility and experience-assessed online health discussions [0.03%]
基于用户可信度和经验评估的在线健康讨论中的神经副作用发现
Van-Hoang Nguyen,Kazunari Sugiyama,Min-Yen Kan et al.
Van-Hoang Nguyen et al.
Background: Health 2.0 allows patients and caregivers to conveniently seek medical information and advice via e-portals and online discussion forums, especially regarding potential drug side effects. Although online healt...
Enabling ad-hoc reuse of private data repositories through schema extraction [0.03%]
通过模式提取启用私有数据仓库的即席重用
Lars Christoph Gleim,Md Rezaul Karim,Lukas Zimmermann et al.
Lars Christoph Gleim et al.
Background: Sharing sensitive data across organizational boundaries is often significantly limited by legal and ethical restrictions. Regulations such as the EU General Data Protection Rules (GDPR) impose strict requireme...
C Maria Keet
C Maria Keet
Background: Most tutorial ontologies focus on illustrating one aspect of ontology development, notably language features and automated reasoners, but ignore ontology development factors, such as emergent modelling guideli...
Disclosing Main authors and Organisations collaborations in bioprinting through network maps analysis [0.03%]
通过网络地图分析揭示生物打印中的主要作者和组织合作情况
Leonardo Azael García-García,Marisela Rodríguez-Salvador
Leonardo Azael García-García
Background: Scientific activity for 3D bioprinting has increased over the past years focusing mainly on fully functional biological constructs to overcome issues related to organ transplants. This research performs a scie...
Temporal information extraction from mental health records to identify duration of untreated psychosis [0.03%]
从心理健康记录中提取时间信息以确定未治疗精神病的持续时间
Natalia Viani,Joyce Kam,Lucia Yin et al.
Natalia Viani et al.
Background: Duration of untreated psychosis (DUP) is an important clinical construct in the field of mental health, as longer DUP can be associated with worse intervention outcomes. DUP estimation requires knowledge about...
Sara Althubaiti,Şenay Kafkas,Marwa Abdelhakim et al.
Sara Althubaiti et al.
Background: Ontologies are widely used across biology and biomedicine for the annotation of databases. Ontology development is often a manual, time-consuming, and expensive process. Automatic or semi-automatic identificat...
Yongqun He,Haihe Wang,Jie Zheng et al.
Yongqun He et al.
Background: Host-microbiome interactions (HMIs) are critical for the modulation of biological processes and are associated with several diseases. Extensive HMI studies have generated large amounts of data. We propose that...
Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death [0.03%]
英国初级保健记录中用于研究的疾病表型自然语言处理：一项心肌梗死和死亡试点研究
Anoop D Shah,Emily Bailey,Tim Williams et al.
Anoop D Shah et al.
Background: Free text in electronic health records (EHR) may contain additional phenotypic information beyond structured (coded) information. For major health events - heart attack and death - there is a lack of studies e...
Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes [0.03%]
探索语义深度学习，从PubMed系统回顾和兽医临床记录中建立可靠且可重复使用的一体化健康知识
Mercedes Arguello-Casteleiro,Robert Stevens,Julio Des-Diz et al.
Mercedes Arguello-Casteleiro et al.
Background: Deep Learning opens up opportunities for routinely scanning large bodies of biomedical literature and clinical narratives to represent the meaning of biomedical and clinical terms. However, the validation and ...