In-hospital fall prediction using machine learning algorithms and the Morse fall scale in patients with acute stroke: a nested case-control study [0.03%]
急性卒中患者住院跌倒的机器学习算法和莫尔斯跌倒量表预测：病例对照研究
Jun Hwa Choi,Eun Suk Choi,Dougho Park
Jun Hwa Choi
Background: Falls are one of the most common accidents in medical institutions, which can threaten the safety of inpatients and negatively affect their prognosis. Herein, we developed a machine learning (ML) model for fal...
KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning [0.03%]
基于多源医疗知识增强的药物预测网络(KERN): 具有多层次图对比学习
Yang An,Haocheng Tang,Bo Jin et al.
Yang An et al.
Backgrounds: Predicting medications is a crucial task in intelligent healthcare systems, aiding doctors in making informed decisions based on electronic medical records (EMR). However, medication prediction faces challeng...
Dealing with missing data in laboratory test results used as a baseline covariate: results of multi-hospital cohort studies utilizing a database system contributing to MID-NET® in Japan [0.03%]
日本多医院队列研究利用数据库系统支持的MID-NET®处理实验室检查基线协变量缺血性心脏病危险因素的研究结果
Maki Komamine,Yoshiaki Fujimura,Masatomo Omiya et al.
Maki Komamine et al.
Background: To evaluate missing data methods applied to laboratory test results used for confounding adjustment, utilizing data from 10 MID-NET®-collaborative hospitals. ...
The automatic detection of diabetic kidney disease from retinal vascular parameters combined with clinical variables using artificial intelligence in type-2 diabetes patients [0.03%]
基于人工智能的糖尿病视网膜血管参数联合临床指标自动检测2型糖尿病肾病
Shaomin Shi,Ling Gao,Juan Zhang et al.
Shaomin Shi et al.
Background: Diabetic kidney disease (DKD) has become the largest cause of end-stage kidney disease. Early and accurate detection of DKD is beneficial for patients. The present detection depends on the measurement of album...
Predictive value of machine learning algorithm of coronary artery calcium score and clinical factors for obstructive coronary artery disease in hypertensive patients [0.03%]
高血压患者冠状动脉钙化评分和临床因素预测阻塞性冠心病的机器学习算法价值分析
Minxian Wang,Mengting Sun,Yao Yu et al.
Minxian Wang et al.
Background: The addition of coronary artery calcium score (CACS) to prediction models has been verified to improve performance. Machine learning (ML) algorithms become important medical tools in an era of precision medici...
A political economy analysis of strengthening health information system in Tanzania [0.03%]
坦桑尼亚卫生信息系统强化的政治经济分析
August Kuwawenaruwa,Henry Mollel,John Matiko Machonchoryo et al.
August Kuwawenaruwa et al.
Background: Many countries' health systems are implementing reforms to improve the functioning and performance of the Health Management Information System (HMIS) to facilitate evidence-based decisions for delivery of acce...
Malin Berglund,Sara Olaison,Eva Westman et al.
Malin Berglund et al.
Background: The Swedish Quality Register for Ear Surgery (SwedEar) is a national register monitoring surgical procedures and outcomes of ear surgery to facilitate quality improvement. The value of the register is dependen...
Expectation of clinical decision support systems: a survey study among nephrologist end-users [0.03%]
临床决策支持系统的作用：一项针对肾病学专家的调查研究
Fruzsina Kotsis,Helena Bächle,Michael Altenbuchinger et al.
Fruzsina Kotsis et al.
Background: Chronic kidney disease (CKD), a major public health problem with differing disease etiologies, leads to complications, comorbidities, polypharmacy, and mortality. Monitoring disease progression and personalize...
Quest markup for developing FAIR questionnaire modules for epidemiologic studies [0.03%]
用于流行病学研究的FAIR问卷模块开发的问答标记语言
Daniel E Russ,Nicole M Gerlanc,Brian Shen et al.
Daniel E Russ et al.
Background: Online questionnaires are commonly used to collect information from participants in epidemiological studies. This requires building questionnaires using machine-readable formats that can be delivered to study ...
Health care needs, eHealth literacy, use of mobile phone functionalities, and intention to use it for self-management purposes by informal caregivers of children with burns: a survey study [0.03%]
关于烧伤儿童的非专业护理人员的医疗需求、eHealth素养、手机功能使用及其自我管理意图的调查研究
Fatemeh Rangraz Jeddi,Ehsan Nabovati,Mohammadreza Mobayen et al.
Fatemeh Rangraz Jeddi et al.
Background: This study aimed to assess health care needs, electronic health literacy, mobile phone usage, and intention to use it for self-management purposes by informal caregivers of children with burn injuries. ...