James Rafferty,Alan Watkins,Jane Lyons et al.
James Rafferty et al.
Multi-morbidity, the health state of having two or more concurrent chronic conditions, is becoming more common as populations age, but is poorly understood. Identifying and understanding commonly occurring sets of diseases is important to i...
Information handoffs in critical care and their implications for information quality: A socio-technical network approach [0.03%]
重症监护中的信息交接及其对信息质量的影响：一种社会技术网络方法
Maria Stefania Festila,Sune Dueholm Müller
Maria Stefania Festila
Objective: The design of health ICTs, as well as human factors, have been shown to influence patient information quality. The aim of this study was to understand how patterns of interaction between these factors influence...
Data Management Plans in the genomics research revolution of Africa: Challenges and recommendations [0.03%]
非洲基因组研究革命中的数据管理计划：挑战与建议
Faisal M Fadlelmola,Lyndon Zass,Melek Chaouch et al.
Faisal M Fadlelmola et al.
Drafting and writing a data management plan (DMP) is increasingly seen as a key part of the academic research process. A DMP is a document that describes how a researcher will collect, document, describe, share, and preserve the data that w...
An informatics approach to examine decision-making impairments in the daily life of individuals with depression [0.03%]
一种用于检验抑郁症患者在日常生活中的决策障碍的信息学方法
Haomiao Jin,Surabhi S Nath,Stefan Schneider et al.
Haomiao Jin et al.
Mental health informatics studies methods that collect, model, and interpret a wide variety of data to generate useful information with theoretical or clinical relevance to improve mental health and mental health care. This article presents...
Adversarial neural network with sentiment-aware attention for detecting adverse drug reactions [0.03%]
一种基于情感感知注意力的对抗神经网络用于检测药物不良反应
Tongxuan Zhang,Hongfei Lin,Bo Xu et al.
Tongxuan Zhang et al.
Adverse drug reaction (ADR) detection is an important issue in drug safety. ADRs are health threats caused by medication. Identifying ADRs in a timely manner can reduce harm to patients and can also assist doctors in the rational use of dru...
scLINE: A multi-network integration framework based on network embedding for representation of single-cell RNA-seq data [0.03%]
基于网络嵌入的单细胞RNA序列数据表示的多网络集成框架
Huoyou Li,Xuesong Xiao,Xiaohui Wu et al.
Huoyou Li et al.
Single-cell RNA sequencing (scRNA-seq) is fast becoming a powerful technology that revolutionizes biomedical studies related to development, immunology and cancer by providing genome-scale transcriptional profiles at unprecedented throughpu...
Enhancing Biomedical Relation Extraction with Transformer Models using Shortest Dependency Path Features and Triplet Information [0.03%]
利用最短依存路径特征和三元组信息增强变压器模型的生物医学关系抽取能力
Vani Kanjirangat,Fabio Rinaldi
Vani Kanjirangat
Entity relation extraction plays an important role in the biomedical, healthcare, and clinical research areas. Recently, pre-trained models based on transformer architectures and their variants have shown remarkable performances in various ...
Relation extraction from DailyMed structured product labels by optimally combining crowd, experts and machines [0.03%]
通过优化组合众包、专家和机器从DailyMed结构化产品标签中抽取关系属性
Krist Shingjergji,Remzi Celebi,Jan Scholtes et al.
Krist Shingjergji et al.
The effectiveness of machine learning models to provide accurate and consistent results in drug discovery and clinical decision support is strongly dependent on the quality of the data used. However, substantive amounts of open data that dr...
COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps [0.03%]
基于Apple Maps驾车导航趋势的时变传播率COVID-19建模
Min Jing,Kok Yew Ng,Brian Mac Namee et al.
Min Jing et al.
Compartment-based infectious disease models that consider the transmission rate (or contact rate) as a constant during the course of an epidemic can be limiting regarding effective capture of the dynamics of infectious disease. This study p...
Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescription [0.03%]
基于动态图和多项式混沌的接触追踪数据分析与最优检测建议模型
Shashanka Ubaru,Lior Horesh,Guy Cohen
Shashanka Ubaru
In this study, we address three important challenges related to disease transmissions such as the COVID-19 pandemic, namely, (a) providing an early warning to likely exposed individuals, (b) identifying individuals who are asymptomatic, and...