Opioid2MME: Standardizing opioid prescriptions to morphine milligram equivalents from electronic health records [0.03%]
阿片类药物2MME：从电子健康记录中将阿片类药方标准化为吗啡毫克当量标准
Juan Antonio Lossio-Ventura,Wenyu Song,Michael Sainlaire et al.
Juan Antonio Lossio-Ventura et al.
Background: The national increase in opioid use and misuse has become a public health crisis in the U.S. To tackle this crisis, the systematic evaluation and monitoring of opioid prescribing patterns is necessary. Thus, o...
Nonlaboratory-based risk assessment model for coronary heart disease screening: Model development and validation [0.03%]
基于非实验室的冠心病筛查风险评估模型的建立与验证
Liying Zhang,Miaomiao Niu,Haiyang Zhang et al.
Liying Zhang et al.
Background: Identifying groups at high risk of coronary heart disease (CHD) is important to reduce mortality due to CHD. Although machine learning methods have been introduced, many require laboratory or imaging parameter...
Patient and clinician use characteristics and perceptions of pulse oximeter use: A scoping review [0.03%]
脉搏血氧仪的使用特征和感知：一项纲要性综述
Tamara Rosic,Neysa Petrina,Melissa Baysari et al.
Tamara Rosic et al.
Background and objectives: The need to monitor patients outside of a formal clinical setting, such as a hospital or ambulatory care facility, has become increasingly important since COVID-19. It introduces significant cha...
Sunyang Fu,Bjoerg Thorsteinsdottir,Xin Zhang et al.
Sunyang Fu et al.
Introduction: Falls are a leading cause of unintentional injury in the elderly. Electronic health records (EHRs) offer the unique opportunity to develop models that can identify fall events. However, identifying fall even...
Human-centered design of team health IT for pediatric trauma care transitions [0.03%]
以用户为中心的设计在儿科创伤护理交接中的团队卫生信息科技
Pascale Carayon,Bat-Zion Hose,Abigail Wooldridge et al.
Pascale Carayon et al.
Background: As problems of acceptance, usability and workflow integration continue to emerge with health information technologies (IT), it is critical to incorporate human factors and ergonomics (HFE) methods and design p...
Machine learning predicts cancer-associated deep vein thrombosis using clinically available variables [0.03%]
基于临床可用变量的机器学习预测癌症相关的深静脉血栓形成
Shuai Jin,Dan Qin,Bao-Sheng Liang et al.
Shuai Jin et al.
Purpose: To develop and validate machine learning (ML) models for cancer-associated deep vein thrombosis (DVT) and to compare the performance of these models with the Khorana score (KS). ...
Ethical, legal, and social considerations of AI-based medical decision-support tools: A scoping review [0.03%]
基于人工智能的医学决策支持工具的伦理、法律和社会考量：综述研究
Anto Čartolovni,Ana Tomičić,Elvira Lazić Mosler
Anto Čartolovni
Introduction: Recent developments in the field of Artificial Intelligence (AI) applied to healthcare promise to solve many of the existing global issues in advancing human health and managing global health challenges. Thi...
Machine learning algorithms to classify self-harm behaviours in New South Wales Ambulance electronic medical records: A retrospective study [0.03%]
基于机器学习的算法在新南威尔士救护车电子医疗记录中分类自伤行为：一项回顾性研究
Alexander Burnett,Nicola Chen,Stephanie Zeritis et al.
Alexander Burnett et al.
Background: There is increasing interest in suicide surveillance solutions to identify non-fatal suicidal and self-harming behaviours in the Australian community not currently captured through national administrative data...
A novel multivariable time series prediction model for acute kidney injury in general hospitalization [0.03%]
一种急性肾损伤的多变量时间序列预测模型
Jie Xu,Yanxiang Hu,Heng Liu et al.
Jie Xu et al.
Objective: Early recognition and prevention are important to reduce the risk of acute kidney injury (AKI). We aimed to build a novel multivariate time series prediction model for dynamic AKI prediction in general hospital...
Deep Learning-based detection of psychiatric attributes from German mental health records [0.03%]
基于深度学习的心理健康记录的精神病属性检测
Sumit Madan,Fabian Julius Zimmer,Helena Balabin et al.
Sumit Madan et al.
Background: Health care records provide large amounts of data with real-world and longitudinal aspects, which is advantageous for predictive analyses and improvements in personalized medicine. Text-based records are a mai...