Feasibility of identifying factors related to Alzheimer's disease and related dementia in real-world data [0.03%]
基于现实世界数据识别阿尔茨海默病和相关痴呆症因素的可行性研究
Yu Huang,Qian Li,Aokun Chen et al.
Yu Huang et al.
Objective: This study aimed to provide a comprehensive understanding of factors associated with Alzheimer's disease (AD) and AD-related dementias (AD/ADRD), which could aid in studies to develop new treatments for AD/ADRD...
Conceptualization and development of the Maryland suicide data warehouse to improve mortality prediction [0.03%]
马里兰州自杀行为资料仓库的概念化与开发以提高死亡率预测能力
Christopher Kitchen,Paul Nestadt,Holly C Wilcox et al.
Christopher Kitchen et al.
Objectives: Research in suicide risk prediction often suffers from the lack of comprehensive data on patient suicide death, which differs from suicide attempt or suicidal behaviors. This study aimed to develop a populatio...
Aim high, stay private: differentially private synthetic data enables public release of behavioral health information with high utility [0.03%]
瞄准高私有性：差异隐私合成数据使行为健康信息的公共发布具有较高的实用性
Mohsen Ghasemizade,Juniper Lovato,Chris Danforth et al.
Mohsen Ghasemizade et al.
Objective: Sharing behavioral health and wearable data poses privacy challenges, as traditional de-identification remains vulnerable to re-identification. Differential privacy (DP) provides mathematical guarantees through...
Automating evaluation of LLM-generated responses to patient questions about rare diseases [0.03%]
自动化评估关于罕见病患者问题的大型语言模型生成的回答
Min Zhao,Inez Y Oh,Aditi Gupta et al.
Min Zhao et al.
Objectives: Patients with rare diseases often struggle to find accurate medical information, and large language model (LLM)-based chatbots may help meet this need. However, evaluating LLM-generated free-text answers typic...
Provider survey to assess the usability and acceptability of an automated electronic health record-based tool for atrial fibrillation to improve anticoagulation management [0.03%]
关于评估基于电子健康记录的自动化工具改善房颤抗凝治疗的可接受性和可行性的供应商调研报告
Brittany A Carlson,Catherine P Benziger,Melissa L Harry et al.
Brittany A Carlson et al.
Objective: Implemented a tool to identify high-risk patients with atrial fibrillation (AF) with a CHA2DS2-VASc score of ≥2 (males) or ≥3 (females) who are not treated with oral anticoagulation. Aimed to evaluate the acc...
Exploring the prognostic value of serum albumin in critically ill cancer patients: an observational cohort study utilizing machine learning from large intensive care unit databases [0.03%]
利用机器学习探讨重症肺癌患者血清白蛋白的预后价值：一项大型重症监护数据库观察队列研究
Guiyue Wang,Limei Yuan,Zhenguo Song et al.
Guiyue Wang et al.
Objectives: Patients with malignant tumors are admitted to the ICU for diverse reasons. However, the clinical utility of serum albumin as a prognostic biomarker remains unclear. ...
Jordan Tschida,Mayanka Chandrashekar,Heidi A Hanson et al.
Jordan Tschida et al.
Objectives: This study aimed to identify and quantify semantic drift (ie, the change in semantic meaning over time) within expert-defined anxiety-related (AR) terminology and compare it to common electronic health record ...
Multivariate time-series forecasting of liver biomarkers from longitudinal lifestyle data for nonalcoholic steatohepatitis detection [0.03%]
基于纵向生活方式数据的肝生物标志物多元时间序列预测用于检测非酒精性脂肪肝病
Sumaiya Afroz Mila,Sandip Ray
Sumaiya Afroz Mila
Objectives: To develop a machine learning method that estimates future liver biomarkers' values from longitudinal lifestyle (diet, activity) data for early detection of nonalcoholic steatohepatitis (NASH). ...
Digital vaccines for immunization equity: an approach to strengthen vaccine delivery and public trust in low- and middle-income countries [0.03%]
数字疫苗在免疫公平中的作用：加强低收入和中等收入国家疫苗接种和公众信任的一种方法
Zhinya Kawa Othman,Mohamed Mustaf Ahmed,Olalekan John Okesanya et al.
Zhinya Kawa Othman et al.
Background: Global immunization efforts still face major inequities and declining vaccine confidence, leaving millions of children in low- and middle-income countries unvaccinated or under-vaccinated. ...
Zero-shot interpretable biomedical literature appraisal with generative large language models [0.03%]
基于生成型大型语言模型的零样本可解释生物医学文献评价方法
Fangwen Zhou,Muhammad Afzal,Ashirbani Saha et al.
Fangwen Zhou et al.
Objective: This study aims to apply 2 decoder-based Generative Pre-trained Transformer (GPT) models (GPT-4o and GPT-o3-mini) in automating the methodological appraisal of randomized controlled trials (RCTs), under a varie...