Deep survival learning for prognosis prediction in non-metastatic castration-resistant prostate cancer [0.03%]
Chunyang Li,Julia Bohman,Vikas Patil et al.
Chunyang Li et al.
BackgroundNon-metastatic, castration-resistant prostate cancer (nmCRPC) is an advanced state of prostate cancer with variable prognosis; early identification of patient risk is crucial, so that clinicians can recommend optimal treatment.Obj...
Optimizing nursing clinical decision support systems: Insights from nurses' experiences [0.03%]
优化护理临床决策支持系统：来自护士经验的启示
Qi Zhang,Aliaya Adili,Zhenghong Yu et al.
Qi Zhang et al.
PurposeThis study explores nurses' experiences with a Nursing Clinical Decision Support System (Nu-CDSS) two years post-implementation and identifies user-centered areas for system optimization.MethodsA descriptive qualitative study was con...
Accessibility, acceptability and preferred modalities for a social media-based antenatal education program among pregnant women in Yaoundé, Cameroon [0.03%]
喀麦隆雅温得孕妇社交软件产前教育接受性、可及性和偏好的调查研究
Fabrice Djouma Nembot,Claude Ngwayu Nkfusai,Collins Buh Nkum et al.
Fabrice Djouma Nembot et al.
BackgroundSocial media platforms are increasingly considered cost-effective channels for delivering antenatal health education in settings where maternal and neonatal mortality remain high. This study assessed accessibility, acceptability, ...
Development of a population based patient cancer data warehouse from multiple electronic health record systems [0.03%]
基于多个电子健康记录系统的患者癌症数据仓库的开发
Karla Siegler,Jason Smith,Emily Walker et al.
Karla Siegler et al.
ObjectiveCancer is a significant cause of death globally. Effective management requires use of real-world data to inform treatment and planning. This demands improvements in data management to support healthcare delivery, research, and pati...
Applications of digital technologies in environmental health information systems [0.03%]
数字化技术在环境健康信息系统中的应用研究进展
Siphesihle Siyamukela Masimula,Mpinane Flory Senekane,Nisha Naicker
Siphesihle Siyamukela Masimula
Background: The world is facing complex environmental health challenges, which require a data science approach for holistic solutions. This indicates a greater need for environmental health information systems (EHISs) to be digitally transf...
Evaluation of medical device calibration knowledge, perceived importance, and implementation support among healthcare professionals in Ghana [0.03%]
评估加纳医疗专业人员的医疗器械校准知识、感知重要性及实施支持情况
Isaac Acquah,Benjamin Appiah Yeboah,Mawusi Gbemavor-Assonhe et al.
Isaac Acquah et al.
ObjectivesMedical device calibration underpins accuracy, precision, and reliability, which are critical to optimal device performance and quality healthcare delivery. Despite its importance, little empirical evidence exists on calibration k...
Assessing the clinical reasoning of large language models on complex rheumatology cases: A multidimensional evaluation of four artificial intelligence [0.03%]
评估大型语言模型在复杂风湿病病例中的临床推理能力：四种人工智能的多维度评价
Yannick Laurent Tchenadoyo Bayala,Fulgence Kaboré,Charles Sougué et al.
Yannick Laurent Tchenadoyo Bayala et al.
BackgroundLarge language models (LLMs) have demonstrated promising capabilities in medical diagnostic reasoning, yet their performance in specialized clinical domains such as rheumatology remains incompletely characterized. While diagnostic...
An informatics-based data-led prioritization strategy to facilitate objective and equitable care for an ethnically diverse urban cohort of people with type 1 diabetes: A proof-of-concept study [0.03%]
基于信息学的数据驱动优先策略，以促进一个种族多样化的城市1型糖尿病患者群体的客观和公平护理：概念证明研究
Panagiotis Pavlou,Khuram Chaudhry,Ollie French et al.
Panagiotis Pavlou et al.
BackgroundEthnicity and socioeconomic factors contribute to higher morbidity and mortality in people with type 1 diabetes (pwT1D), partly due to reduced access to specialised care and technology. Objectively prioritising high-risk individua...
Interpretable heart disease risk prediction via FCA-constrained logistic regression [0.03%]
基于FCA约束的逻辑回归的心脏病风险可解释预测方法研究
Arman Salehi,Ashkan Heydarian,Hamid Reza Goudarzi et al.
Arman Salehi et al.
ObjectiveTo develop an interpretable and clinically coherent heart disease risk prediction model by integrating Formal Concept Analysis (FCA) with a novel closure-constrained logistic regression that enforces coefficient coherence within FC...
Influencing factors and acceptance levels of robotic and smart home health technologies among older adults: A systematic review [0.03%]
老年人对机器人和智能居家健康技术的影响因素及接受程度的系统评价
Reyhaneh Jaberi,Sharareh Rostam Niakan Kalhori,Fateme Bahador et al.
Reyhaneh Jaberi et al.
BackgroundSmart home technologies and assistive robots play a role in enhancing the well-being of older adults. This study aims to evaluate the factors and acceptance level of these technologies among seniors and to explore the factors affe...