Improving entity recognition using ensembles of deep learning and fine-tuned large language models: A case study on adverse event extraction from VAERS and social media [0.03%]
基于深度学习和精细调优的大规模语言模型的集成改善实体识别：VAERS和社会媒体不良事件提取案例研究
Yiming Li,Deepthi Viswaroopan,William He et al.
Yiming Li et al.
Objective: Adverse event (AE) extraction following COVID-19 vaccines from text data is crucial for monitoring and analyzing the safety profiles of immunizations, identifying potential risks and ensuring the safe use of th...
Patient deep spatio-temporal encoding and medication substructure mapping for safe medication recommendation [0.03%]
基于患者深度时空编码和药物子结构映射的安全用药推荐方法
Haoqin Yang,Yuandong Liu,Longbo Zhang et al.
Haoqin Yang et al.
Medication recommendations are designed to provide physicians and patients with personalized, accurate and safe medication choices to maximize patient outcomes. Although significant progress has been made in related research, three major ch...
Shuai Liu,Xiao Yan,Xiao Guo et al.
Shuai Liu et al.
Objective: Identifying functional connectivity biomarkers of major depressive disorder (MDD) patients is essential to advance the understanding of disorder mechanisms and early intervention. Multi-site data arise naturall...
Evaluating the Bias, type I error and statistical power of the prior Knowledge-Guided integrated likelihood estimation (PIE) for bias reduction in EHR based association studies [0.03%]
评价先验知识引导的综合似然估计（PIE）在基于电子健康记录关联研究中减少偏差、Ⅰ型错误和统计功效的方法
Naimin Jing,Yiwen Lu,Jiayi Tong et al.
Naimin Jing et al.
Objectives: Binary outcomes in electronic health records (EHR) derived using automated phenotype algorithms may suffer from phenotyping error, resulting in bias in association estimation. Huang et al. [1] proposed the Pri...
Selecting a smartwatch for trials involving older adults with neurodegenerative diseases: A researcher's framework to avoid hidden pitfalls [0.03%]
针对神经退行性疾病老年人试用的智能手表选择：避免隐性陷阱的研究者框架
Lydia D Boyle,Brice Marty,Kristoffer Haugarvoll et al.
Lydia D Boyle et al.
Background: Increased prevalence of neurodegenerative diseases complicates care needs for older adults. Sensing technologies, such as smartwatches, are one available solution which can help address the challenges of aging...
Discontinuous named entities in clinical Text: A systematic literature review [0.03%]
临床文本中的不连续实体命名：系统性文献综述
Areej Alhassan,Viktor Schlegel,Monira Aloud et al.
Areej Alhassan et al.
Objective: Extracting named entities from clinical free-text presents unique challenges, particularly when dealing with discontinuous entities-mentions that are separated by unrelated words. Traditional NER methods often ...
ARCH: Large-scale knowledge graph via aggregated narrative codified health records analysis [0.03%]
ARCH：通过聚合叙述的结构化电子病历分析构建大规模知识图谱
Ziming Gan,Doudou Zhou,Everett Rush et al.
Ziming Gan et al.
Objective: Electronic health record (EHR) systems contain a wealth of clinical data stored as both codified data and free-text narrative notes (NLP). The complexity of EHR presents challenges in feature representation, in...
Examining implementation outcomes in health information exchange systems: A scoping review [0.03%]
用于健康信息交换系统的实现效果评价：综述研究
Bonnie Lum,Navisha Weerasinghe,Charlene H Chu et al.
Bonnie Lum et al.
Background: Health information exchange (HIE) facilitates the secure exchange of digital health data across disparate health systems and settings. The implementation of information technology projects in healthcare is com...
Deep learning in surgical process Modeling: A systematic review of workflow recognition [0.03%]
外科流程建模的深度学习：工作流识别的系统性回顾
Zhenzhong Liu,Kelong Chen,Shuai Wang et al.
Zhenzhong Liu et al.
Objective: The application of artificial intelligence (AI) in health care has led to a surge of interest in surgical process modeling (SPM). The objective of this study is to investigate the role of deep learning in recog...
Modelling diversity in hospital strategies in city-scale ambulance dispatching with coupled game-theoretic model and discrete-event simulation [0.03%]
基于耦合博弈论模型和离散事件模拟的城市规模救护调度中的医院战略多样性研究
Xinyu Fu,Valeria Krzhizhanovskaya,Alexey Yakovlev et al.
Xinyu Fu et al.
The optimization in the ambulance dispatching process is significant for patients who need early treatments. However, the problem of dynamic ambulance redeployment for destination hospital selection has rarely been investigated. The paper p...