Unified Resource Browser: An Interactive and Reconfigurable Web Framework for Biomedical Metadata Exploration, Visualization, and Management [0.03%]
统一资源浏览器：一种用于生物医学元数据探索、可视化和管理的交互式和可重构的网络框架
Shiwei Lin,Ling Tong,Kimberly A Smith et al.
Shiwei Lin et al.
We present Unified Resource Browser, a web-based framework designed to optimize the configuration, exploration, visualization, and dissemination of complex biomedical metadata. As a core component of Neuroanatomy-Anchored Information Manage...
Contextual Phenotyping of Pediatric Sepsis Cohort Using Large Language Models [0.03%]
基于大型语言模型的儿科脓毒症队列的上下文表型分析
Aditya Nagori,Ayush Gautam,Matthew O Wiens et al.
Aditya Nagori et al.
The clustering of patient subgroups is essential for personalized care and efficient use of resources. Traditional clustering methods struggle with high-dimensional heterogeneous healthcare data and lack contextual understanding. This study...
Coding Fairness: Detecting Demographic-Related Coding Discrepancies in ICD Code Assignments [0.03%]
编码的公平性：检测ICD编码分配中的与人口统计学相关的编码差异
Ying Yin,Stuart J Nelson,Yijun Shao et al.
Ying Yin et al.
Coded clinical data are crucial in biomedical informatics research. While it is well known that electronic medical records often contain coding errors, numerous studies rely on International Classification of Diseases (ICD) codes for phenot...
From Food to Clinic: Mapping FoodOn to the UMLS to Enable Nutritional Decision Support [0.03%]
从食品到诊所：将FoodOn映射到UMLS以支持营养决策支持系统
Indra Neil Sarkar
Indra Neil Sarkar
Food and nutrition knowledge is recognized as a fundamental factor for the health and well-being of communities; however, its integration into biomedical and health knowledge systems is limited by the absence of standardized ontologies that...
DeepJ: Graph Convolutional Transformers with Differentiable Pooling for Patient Trajectory Modeling [0.03%]
基于可微分池化图卷积Transformer的患者病程建模方法
Deyi Li,Zijun Yao,Muxuan Liang et al.
Deyi Li et al.
In recent years, graph learning has gained significant interest for modeling complex interactions among medical events in structured Electronic Health Record (EHR) data. However, existing graph-based approaches often work in a static manner...
An Information Extraction Approach to Detecting Novelty of Biomedical Publications [0.03%]
一种用于检测生物医学论文新颖性的信息抽取方法
Xueqing Peng,Brian Ondov,Huan He et al.
Xueqing Peng et al.
Scientific novelty plays a critical role in shaping research impact, yet it remains inconsistently defined and difficult to quantify. Existing approaches often reduce novelty to a single measure, failing to distinguish the specific types of...
My Kidney T.R.E.K. - Thinking, Reflecting, and Empowering Kidney Transplant Patients, through technology [0.03%]
我的肾脏T.R.E.K.——通过技术让肾移植患者思考、反思和赋权
Julia C Dunbar,Wanda Pratt,Lily Jeffs et al.
Julia C Dunbar et al.
Adolescents and young adults with kidney transplants face unique challenges as they transition toward independent self-management. These youth need tools that not only support skill-building but also foster reflection, a key component of se...
Translating Nursing Data into Computational Metrics: An Evaluation Guideline for Inpatient Intravenous and Subcutaneous Insulin Management [0.03%]
护理数据转化为计算指标：住院患者静脉和皮下注射胰岛素管理评价指南
Varsha Varkhedi,Kenrick Cato,David Albers et al.
Varsha Varkhedi et al.
A challenge in utilizing electronic health record data for artificial intelligence models is contextualization, including understanding differences between missing data and missed care. Our team aims to develop knowledge graphs and computat...
Data-Driven Evidence-Based Patient-Centered Optimal Initiation Time for Dialysis Treatment [0.03%]
基于数据的循证以患者为中心的透析治疗最佳开始时间证据
Eva K Lee,Di Liu,Jeffrey Hoffman
Eva K Lee
In this study, we propose a novel decision-making framework based on natural-language processing, machine learning and stochastic modeling for the purpose of providing a data-driven perspective to optimize the initiation time for dialysis t...
Variogram Modeling of Spatially Variant Early Response to Therapy in Advanced Non-Small Cell Lung Cancer [0.03%]
空间变异的早期治疗反应在晚期非小细胞肺癌中的变差函数建模
Faisal Yaseen;MHI;Daniel S Hippe,Parth V Soni,Shouyi Wang et al.
Faisal Yaseen;MHI;Daniel S Hippe et al.
Predicting heterogeneity in treatment response for non-small cell lung cancer (NSCLC) at multiple scales, both between patients and spatially within each patient, can support clinical decisions that personalize oncologic management. In this...