The consensus-based CINEX guideline for reporting clinical information extraction studies [0.03%]
基于共识的CINEX指南：临床信息提取研究报道规范
Daniel Reichenpfader,Jamil Zaghir,Elsa Cécilia-Joseph et al.
Daniel Reichenpfader et al.
Objective: Information extraction (IE) from clinical texts has advanced rapidly with recent advances in natural language processing, particularly the advent of large language models (LLMs). However, inconsistent and incom...
Explainable temporal machine learning of multimorbidity trajectories after acute myocardial infarction: complementing clinical risk scores with mechanistic phenotypes [0.03%]
心肌梗死后多发病轨迹的可解释时间机器学习：用机制表型补充临床风险评分
Anthony Onoja,Kris Elomaa,Anthony D Whetton et al.
Anthony Onoja et al.
Objective: This study aimed to identify trajectories of multimorbidity following acute myocardial infarction (AMI), using explainable temporal machine-learning methods, and assess their clinical, prognostic, and biologica...
REWARD-an open-source framework for identifying the unknown benefits of existing medications to inform drug discovery, development, and repurposing [0.03%]
REWARD：一个开源框架，用于识别现有药物的未知益处，以指导药物发现、开发和再利用
David M Kern,Justin Bohn,James P Gilbert et al.
David M Kern et al.
Objectives: The potential of "big data" in health research remains largely untapped, particularly concerning real-world data sources such as administrative health data and electronic medical records. While healthcare insu...
Developing and evaluating human-led and large language model-assisted hybrid deductive-inductive workflows for qualitative analysis [0.03%]
开发和评估以人为主导和大型语言模型辅助的混合演绎-归纳工作流程以进行定性分析与发展及评估人类引导与大型语言模型辅助的混合演绎-归纳工作流用于质性分析
So Hyeon Bang,Soojeong Han,Meghan Reading Turchioe et al.
So Hyeon Bang et al.
Objective: To develop and systematically compare a human-led and LLM-assisted hybrid deductive-inductive workflow for qualitative analyses. Materials and ...
CiteSure: retrieval-augmented large language models for faithful biomedical citation recommendation [0.03%]
CiteSure：增强型检索的大型语言模型在忠实的生物医学引文推荐中的应用
Qianqian Xie,Jeffrey Zhang,Yan Wang et al.
Qianqian Xie et al.
Objectives: Accurate citation of relevant publications is essential for scientific integrity in biomedical research. Large language models (LLMs) excel at text generation but often hallucinate fabricated or inaccurate cit...
Evaluating large-scale propensity score adjustment when sample size is small [0.03%]
当样本量较小时评估大规模倾向值调整的效果
Fleur Vereijken,Jenna M Reps,Marc A Suchard et al.
Fleur Vereijken et al.
Background: Large-scale propensity score (LSPS) models are increasingly used to control confounding in observational studies, but their reliability in small-sample settings is unclear. Small samples can limit a study's ab...
PhenoSS: phenotype semantic similarity-based approach for rare disease prediction and patient clustering [0.03%]
基于表型语义相似性的罕见病预测及患者聚类方法(PhenoSS)
Shihan Chen,Quan M Nguyen,Yu Hu et al.
Shihan Chen et al.
Objectives: Systematic clinical phenotyping using Human Phenotype Ontology (HPO) is central to rare disease diagnosis. However, current disease prioritization (ranking candidate diseases from HPO for a patient) methods fa...
Tipping the balance: impact of class imbalance correction on the performance of clinical risk prediction models [0.03%]
化不平衡对临床风险预测模型性能的影响
Amalie Koch Andersen,Hadi Mehdizavareh,Arijit Khan et al.
Amalie Koch Andersen et al.
Objectives: Machine-learning-based clinical risk prediction models are increasingly used to support decision-making in healthcare. While class-imbalance correction techniques are commonly applied to address rare outcomes,...
Who is doing informatics work in US governmental public health agencies? [0.03%]
美国政府公共卫生机构中的信息学工作者是谁？
Sripriya Rajamani,Divya Rupini Gunashekar,Umesh Ghimire et al.
Sripriya Rajamani et al.
Objectives: Data modernization (DM) seeks to transform data and information systems in public health (PH) to support core activities. This study characterizes incumbent PH workers who perform informatics and data-centric ...
Real-time EHR secure messaging to coordinate emergency department disposition for 30-day revisit patients [0.03%]
基于电子健康档案的急诊科实时安全Messaging协调以防止30天内再次就诊
Priyanka Solanki,William Small,Jaya Sondhi et al.
Priyanka Solanki et al.
Objectives: To evaluate whether real-time electronic health record (EHR)-based secure messaging between emergency department (ED) clinicians and prior discharge teams influences ED disposition decisions for patients re-pr...