Sensitivity Analyses of a Scoring System for a Contraception Decision Aid [0.03%]
一种避孕决策辅助打分系统的敏感性分析
Sanyam P Shah,Tanuj S Shekhawat,Vi-Anh Hoang et al.
Sanyam P Shah et al.
We conducted formal analyses of a scoring system for a contraception decision aid to support transgender and gender-nonconforming (TGNC) assigned female at birth (AFAB) individuals. For this purpose, we developed a methodology framework to ...
Improving electronic health record processing of large language models via retrieval-augmented generation: A case study on dietary supplements [0.03%]
通过检索增强生成改进大型语言模型的电子健康记录处理：膳食补充剂案例研究
Zaifu Zhan,Shuang Zhou,Jiawen Deng et al.
Zaifu Zhan et al.
Large language models (LLMs) excel in natural language processing (NLP) but struggle with domain-specific complexities in electronic health records (EHRs). We demonstrate that retrieval-augmented generation (RAG) enhances LLMs for dietary s...
Developing a User-Centered Mobile Application Prototype: Bridging Lower-Limb Fracture Care from Skilled Nursing Facility and Back to the Community [0.03%]
开发以用户为中心的移动应用程序原型：弥合老年下肢骨折患者从专业护理机构到重返社区之间的裂痕
Min-Jeoung Kang,Veysel Karani Baris,Alice Kim et al.
Min-Jeoung Kang et al.
This study is part of the OsteoPorotic fracTure preventION System (OPTIONS) project which aims to develop an evidence-based mobile application for older adults transitioning from skilled nursing facilities (SNFs) back to the community after...
KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs [0.03%]
KERAP：使用多代理LLM进行准确零样本诊断预测的知识增强推理方法
Yuzhang Xie,Hejie Cui,Ziyang Zhang et al.
Yuzhang Xie et al.
Medical diagnosis prediction plays a critical role in disease detection and personalized healthcare. While machine learning (ML) models have been widely adopted for this task, their reliance on supervised training limits their ability to ge...
Automating Adjudication of Cardiovascular Events Using Large Language Models [0.03%]
利用大型语言模型自动化心血管事件的裁定
Sonish Sivarajkumar,Kimia Ameri,Chuqin Li et al.
Sonish Sivarajkumar et al.
Cardiovascular event adjudication is essential in clinical trials but relies on manual chart review that is slow, variable, and expensive. We present a two-stage framework that automates adjudication of cardiovascular deaths using large lan...
Predictive Factors and State-Level Barriers to Postpartum Birth Control Usage in the United States: Insights from PRAMS Phase 8 [0.03%]
美国产后避孕使用的预测因素及州级障碍：来自PRAMS第8阶段的见解
Amber S Tran,Pitchaya Chairuengjitjaras,Ameesha Masand
Amber S Tran
In the last decade, varied state-level policies on contraception access have highlighted the importance of large-scale public health datasets in assessing the impact of these policies on reproductive healthcare access. This study uses PRAMS...
Healthy Lifestyles and Self-Improvement Videos on YouTube: A Thematic Analysis of Teen-Targeted Social Media Content [0.03%]
面向青少年的社交媒体内容的主题分析：对YouTube上健康生活和自我提升视频的研究
Kyuha Jung,Tyler Kim,Yunan Chen
Kyuha Jung
As teenagers increasingly turn to social media for health-related information, understanding the values of teen-targeted content has become important. Although videos on healthy lifestyles and self-improvement are gaining popularity on soci...
Exchanging Context and Provenance Based Standardized Patient Generated Health Data with an Electronic Health Record [0.03%]
基于标准的患者生成健康数据与电子健康记录中的文脉和来源交换
Abdullahi Abubakar Kawu,Lucy Hederman,Dympna O&#x;Sullivan
Abdullahi Abubakar Kawu
Patient Generated Health Data empower patients and supports their longitudinal care, with several studies and initiatives attempting to integrate these data into electronic health records of patients. However, studies have indicated clinici...
Developing Large Language Model-based Pipeline for Identification of Disease Diagnosis: A Case Study on Identifying Newly Diagnosed Multiple Myeloma and its Precursor Disease in Veterans Health Administration Electronic Health Records [0.03%]
基于大型语言模型的管道在疾病诊断识别中的发展：退伍军人健康管理局电子健康记录中识别新诊多发性骨髓瘤及其前体疾病的案例研究
Mei Wang,Yuan-Hung Kuan,Patrik R Alba et al.
Mei Wang et al.
Accurately identifying disease diagnoses from electronic health records (EHRs) is crucial for clinical/biomedical research; however, this is challenging when diagnoses are complex and require data from several sources, e.g., multiple myelom...
From Chronic Health Condition to Disability Identity: Opportunities for Health Informatics Engagement [0.03%]
从慢性疾病到残疾身份：健康信息学参与的机会
Emma J McDonnell,Wanda Pratt
Emma J McDonnell
Of the millions of Americans with chronic health conditions (CHCs), a growing number are coming to identify as disabled due to their CHCs. Their definition of disability differs substantially from how health informatics has traditionally th...