Bridging the gap: an infodemiological analysis of public and scientific interest in obesity and digital proxies of lifestyle-related discourse [0.03%]
弥合差距：肥胖和与生活方式相关的话语的数字代理的公共和科学兴趣信息流行病学分析
Efstathios Kaloudis,Vasiliki Bountziouka
Efstathios Kaloudis
Background: The effective translation of scientific insights into public health action remains a challenge, despite ongoing efforts to address obesity. Ob...
An optimized deep learning-based drug recommendation system using a sentiment analysis and transformer models for improved predictions [0.03%]
一种基于深度学习的优化药物推荐系统，利用情感分析和变压器模型实现更准确的预测
D Deepa,T Dhiliphan Rajkumar,P Nagaraj
D Deepa
Background: Healthcare users can be assisted by a medicine or drug recommendation system (MRS) by understanding their needs and supporting informed decisions based on complex knowledge. The biggest challenge is analyzing ...
Digital health literacy as a driver of continued electronic health record use: insights from necessity and sufficiency analyses [0.03%]
基于必要性和充分性分析的数字健康素养作为推动电子健康记录持续使用的动力
Gökhan Aydin,Seda Kumru,Halil Balin
Gökhan Aydin
Continued use of Electronic Health Records (EHRs) remains a significant challenge despite widespread digitalization. Existing models often overlook key psychological and informational factors essential for continued engagement. This study e...
Correction [0.03%]
改正
Published Erratum
Informatics for health & social care. 2026 Apr 25:i. DOI:10.1080/17538157.2026.2664831 2026
Dual perspectives on large language models in rheumatology: physician-rated quality and patient-centered usability of GPT-4o versus DeepSeek-V3 [0.03%]
风湿病学中的大型语言模型的双重视角：GPT-4o和DeepSeek-V3的质量与以患者为中心的可用性评估
Bulent Akyuz,Ilhan Sezer,Ali Nail Demir et al.
Bulent Akyuz et al.
Objectives: This study conducted an informatics system evaluation of two LLMs (GPT-4o and DeepSeek-V3) for patient education, combining clinician-rated quality with patient-perceived usability across thematically stratifi...
Application of artificial intelligence chatbots in the medical field: latent dirichlet allocation analyses [0.03%]
人工智能聊天机器人在医学领域的应用：潜在 Dirichlet 分配分析
Mingyue Ni,Yunxia Jiang,Mingrun Li et al.
Mingyue Ni et al.
To identify research topics in medical chatbots and analyze their temporal trends, geographic distributions, and journal preferences. Latent Dirichlet Allocation (LDA) topic modeling was applied to 9,650 publications (1986-2024), extracting...
Semantic interoperability and price analytics in hospital transparency data: a multi-stage pipeline with NLP and machine learning [0.03%]
基于NLP和机器学习的医院透明化数据多阶段处理管道：语义互操作性和价格分析
Thomas Wiese
Thomas Wiese
Purpose: The U.S. Hospital Price Transparency mandate requires public disclosure of machine-readable files (MRFs), yet profound data heterogeneity hinders their utility for research and consumer use. This study evaluates ...
Examining the relationship between technostress, openness to change and performance in a smart health ecosystem: a research in a university hospital [0.03%]
探究技术压力、变革开放性与智能医疗生态系统中绩效之间的关系——基于一家大学附属医院的实证研究
Özlem Gedik,Edibe Asuman Atilla
Özlem Gedik
In today's world, where technology and digitalization impact every aspect of life, organizations prioritize adapting to these changes. This study aims to explore how digitalization influences organizational behaviors. The fact that individu...
A quantitative approach to evaluating open-source EHR systems for Indian healthcare: a metadata perspective [0.03%]
从元数据角度定量评估印度医疗领域开源电子健康记录系统的研究
Biswanath Dutta,Debanjali Bain
Biswanath Dutta
The standardization of Electronic Health Records (EHRs) is a nationally significant priority in India, given the scale and diversity of its healthcare system. To promote uniform clinical documentation, the Ministry of Health and Family Welf...
IoT-based Stomach abnormality detection via hybrid MDCNN-Bi-LSTM architecture with statistical and texture features [0.03%]
基于统计和纹理特征的混合MDCNN-Bi-LSTM架构的物联网胃部异常检测方法
M Sandhiya,A S Aneetha
M Sandhiya
Stomach abnormalities pose significant health concerns, ranging from minor digestive issues to severe conditions. The emergence of deep learning methods offers a promising solution to this problem. However, due to the risk of non-optimal hy...