Development and validation of a risk prediction model and prediction tools for post-thrombotic syndrome in patients with lower limb deep vein thrombosis [0.03%]
下肢深静脉血栓患者后血栓综合征的风险预测模型及工具的建立和验证
Xiao-Xuan Sun,Hua Ling,Lei Zhang et al.
Xiao-Xuan Sun et al.
Purpose: Our research aims to compare the predictive performance of decision tree algorithms (DT) and logistic regression analysis (LR) in constructing models, and develop a Post-Thrombotic Syndrome (PTS) risk stratificat...
Analysis and prediction of long-term survival using a clinically applicable risk score based on the Electronic Health Record [0.03%]
基于电子健康记录的长期生存分析和预测及其临床应用价值研究
Carlos Andreu-Mateu,Carlos Andreu-Vilarroig,Néstor Sánchez-Bermejo et al.
Carlos Andreu-Mateu et al.
Background: The long-term survival of a population assigned to a hospital can be essential to anticipate, manage, and provide appropriate hospital healthcare resources or lead preventive actions for high-risk mortality in...
Minors' and guardian access to and use of a national patient portal: A retrospective comparative case study of Sweden and Finland [0.03%]
未成年人及其监护人使用国家级患者门户的情况：瑞典和芬兰的回顾性比较案例研究
Josefin Hagström,Maria Hägglund,Mari Holmroos et al.
Josefin Hagström et al.
Background: Approaches to implementing online record access (ORA) via patient portals for minors and guardians vary internationally, as more countries continue to develop patient-accessible electronic health records (PAEH...
Predicting the presence of adherent perinephric fat using MRI radiomics combined with machine learning [0.03%]
基于MRI影像组学结合机器学习预测肾周脂肪的位置
Binh D Le,Sook Hee Heo,Ho Seok Chung et al.
Binh D Le et al.
Objectives: Adherent perinephric fat (APF) poses significant challenges to surgical procedures. This study aimed to evaluate the usefulness of machine learning algorithms combined with MRI-based radiomics features for pre...
Development and validation of a clinical decision support system to prevent anticoagulant duplications [0.03%]
抗凝血剂重复用药预防的临床决策支持系统的研发与验证
Hendrike Dahmke,Francisco Cabrera-Diaz,Marc Heizmann et al.
Hendrike Dahmke et al.
Background and objective: Unintended duplicate prescriptions of anticoagulants increase the risk of serious adverse events. Clinical Decision Support Systems (CDSSs) can help prevent such medication errors; however, sophi...
Factors impacting the adoption of big data in healthcare: A systematic literature review [0.03%]
影响医疗行业大数据采用的因素：系统文献综述
Abeer Saleh Al Teneiji,Taghreed Yahia Abu Salim,Zainab Riaz
Abeer Saleh Al Teneiji
Background: The term "big data" refers to the vast volume, variety, and velocity of data generated from various sources-e.g., sensors, social media, and online platforms. Big data adoption within healthcare poses an intri...
Assessing the usability of an immersive virtual reality grocery store in healthy controls [0.03%]
健康受试者沉浸式虚拟现实杂货店的适用性评估
Sara Flash,Denise M Goldsmith,Tanna L Nelson et al.
Sara Flash et al.
Background: Immersive virtual reality (IVR) as a research platform to study human behaviors is an emerging field and may be useful for studying self-care management, especially in the gap between formal healthcare recomme...
Randomized Controlled Trial
International journal of medical informatics. 2024 Jul:187:105458. DOI:10.1016/j.ijmedinf.2024.105458 2024
Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests [0.03%]
基于知识图谱和随机森林的女性生殖障碍相关营养及环境因素预测模型研究
Lauren E Chan,Elena Casiraghi,Justin Reese et al.
Lauren E Chan et al.
Objective: Female reproductive disorders (FRDs) are common health conditions that may present with significant symptoms. Diet and environment are potential areas for FRD interventions. We utilized a knowledge graph (KG) m...
Discovering the importance of health informatics education competencies in healthcare practice. A focus group interview [0.03%]
探讨健康信息学教育在医疗实践中的重要性——一次焦点小组访谈
Pauleen Mannevaara,Ulla-Mari Kinnunen,Nicole Egbert et al.
Pauleen Mannevaara et al.
Background: As healthcare and especially health technology evolve rapidly, new challenges require healthcare professionals to take on new roles. Consequently, the demand for health informatics competencies is increasing, ...
Helping parents know when to seek help for an acutely ill child: Evidence based co-development of a mobile phone app using complex intervention methodology [0.03%]
基于复杂干预方法学的证据共生成手机应用程序帮助家长判断何时寻求儿童急性期疾病的医疗救助
Sarah Neill,Natasha Bayes,Matthew Thompson et al.
Sarah Neill et al.
Background: Acute illness accounts for the majority of episodes of illness in children under five years of age and is the age group with the highest consultation rate in general practice in the UK. The number of children ...