Facilitating Clinical Information Extraction with Synthetic Data and Ontology using Large Language Models [0.03%]
基于大规模语言模型的合成数据和本体在临床信息提取中的应用促进研究
Yan Hu,Huan He,Qingyu Chen et al.
Yan Hu et al.
The rapid growth of unstructured clinical text in electronic health records necessitates robust information extraction systems, yet their development is hindered by the scarcity of high-quality annotated data. This study explores the potent...
Which decisions affect cohort distribution in COVID-19 data analytics? [0.03%]
哪些决定会影响COVID-19数据分析中的队列分布？
Atefehsadat Haghighathoseini,Janusz Wojtusiak,Lemba Priscille Ngana et al.
Atefehsadat Haghighathoseini et al.
Data analytics has emerged as a crucial tool for understanding the multifaceted impacts of the COVID-19 pandemic. By collecting and analyzing extensive datasets, researchers have gained valuable insights into the virus's transmission, sever...
Toward Integrating Machine Learning-powered Polysocial Risk Scores into Electronic Health Record Workflows [0.03%]
基于电子健康记录的工作流程整合机器学习驱动的多社交风险评分体系
Xing He,Yu Huang,Yu Hu et al.
Xing He et al.
Social determinants of health (SDoH) account for 80% of modifiable factors driving health disparities. Health systems play a critical role in addressing patients' unmet social needs essential to health outcomes. To integrate social risk man...
RAG vs Reddit: Decoding Autism Conversations on Reddit with LLMs and Topic Modeling [0.03%]
基于LLM和主题建模的Reddit自闭症对话解码与RAG对比研究
Deshan Wattegama,Benjamin Black,Marcus Moen et al.
Deshan Wattegama et al.
Social media platforms like Reddit have become vital spaces for autistic individuals and caregivers to seek advice, share experiences, and discuss challenges. Simultaneously, Large Language Models (LLMs) are increasingly used to provide med...
A Reinforcement Learning (RL)-Motivated Simulation Framework for Evaluating Vancomycin Dosing Strategies [0.03%]
一种评估万古霉素给药策略的基于强化学习（RL）的模拟框架
Bingyu Mao,Ziqian Xie,Laila Rasmy et al.
Bingyu Mao et al.
Achieving and maintaining the therapeutic range in vancomycin treatment is important for optimal outcomes. While guidelines and best practices based on empirical studies exist, the theoretical best dosing strategies under various conditions...
Mapping Documentation Burden: Analyzing Centrality and Clusters among Flowsheet Measures and Templates Through Network Analysis [0.03%]
基于网络分析的文档负担映射：通过网络分析研究流程表征和模板之间的中介效应和聚类效应
Pinyue Wang,Amy Finnegan,Po-Yin Yen et al.
Pinyue Wang et al.
This study applied network analysis (NA) to identify documentation burden in nursing flowsheets, quantifying and visualizing the interconnectedness of nursing flowsheet templates and measures. By analyzing centrality metrics and edge weight...
Is Tree-of-Thought Prompting Strategy Better than Chain-of-Thought? Vaping Cessation Analysis Using Large Language Models [0.03%]
思维树提示策略优于链式思考吗？利用大型语言模型分析电子烟戒断效果
Lucas Aust,Anthony Fu,Ming Huang
Lucas Aust
Vapingis gainingpopularity amongadolescents andposes severe risks to users. Social media platforms such as Reddit and X offer insights into user behaviors and attitudes regarding vaping. In previous studies, our team explored the ability of...
Trustworthy and Uncertainty-Aware AI for Predicting Respiratory Complications Following Total Hip and Knee Arthroplasty [0.03%]
可信且能够识别不确定性的人工智能在全髋关节和膝关节置换术后的呼吸系统并发症预测中的应用
Farnaz Rezvani,Kate Towsen,Zoe Menezes et al.
Farnaz Rezvani et al.
Total hip and knee arthroplasty (THA/TKA) are among the fastest-growing surgeries in the United States, where they are designed to restore mobility and improve quality of life in individuals with joint disorders. Despite their benefits, the...
Benchmarking Waitlist Mortality Prediction in Heart Transplantation Through Time-to-Event Modeling using New Longitudinal UNOS Dataset [0.03%]
基于新型纵向UNOS数据的时间过程模型在心脏移植等待名单中进行 mortality预测的基准测试
Yingtao Luo,Reza Skandari,Carlos Martinez et al.
Yingtao Luo et al.
Decisions about managing patients on the heart transplant waitlist are currently made by committees of doctors who consider multiple factors, but the process remains largely ad-hoc. With the growing volume of longitudinal patient, donor, an...
Cultural Prompting Improves the Empathy and Cultural Responsiveness of GPT-Generated Therapy Responses [0.03%]
文化提示可改善GPT生成的疗法回复中的同理心和文化适应性
Serena Jinchen Xie,Shumenghui Zhai,Yanjing Liang et al.
Serena Jinchen Xie et al.
Large Language Model (LLM)-based conversational agents offer promising solutions for mental health support, but lack cultural responsiveness for diverse populations. This study evaluated the effectiveness of cultural prompting in improving ...
Randomized Controlled Trial
AMIA ... Annual Symposium proceedings. AMIA Symposium. 2025 May 22:2024:1384-1393. DOI: 2025