Machine learning models to detect and predict patient safety events using electronic health records: A systematic review [0.03%]
基于电子健康记录检测和预测患者安全事件的机器学习模型：系统综述
Ghasem Deimazar,Abbas Sheikhtaheri
Ghasem Deimazar
Introduction: Identifying patient safety events using electronic health records (EHRs) and automated machine learning-based detection methods can help improve the efficiency and quality of healthcare service provision. ...
Machine learning prediction models for clinical management of blood-borne viral infections: a systematic review of current applications and future impact [0.03%]
用于血液传播病毒感染临床管理的机器学习预测模型：目前应用和未来影响的系统评价
Busayo I Ajuwon,Oluwatosin N Awotundun,Alice Richardson et al.
Busayo I Ajuwon et al.
Background: Machine learning (ML) prediction models to support clinical management of blood-borne viral infections are becoming increasingly abundant in medical literature, with a number of competing models being develope...
Gayathri Delanerolle,Peter Phiri,Heitor Cavalini et al.
Gayathri Delanerolle et al.
Objectives: The aim of this perspective is to report the use of synthetic data as a viable method in women's health given the current challenges linked to obtaining life-course data within a short period of time and acces...
Use of wearables for monitoring cardiometabolic health: A systematic review [0.03%]
可穿戴设备在心血管代謝健康监测中的应用：系统性综述
Mikyoung A Lee,MinKyoung Song,Hannah Bessette et al.
Mikyoung A Lee et al.
Introduction: Cardiometabolic disorders (CMD) such as hyperglycemia, obesity, hypertension, and dyslipidemia are the leading causes of mortality and significant public health concerns worldwide. With the advances in wirel...
Machine learning for prediction of viral hepatitis: A systematic review and meta-analysis [0.03%]
机器学习预测病毒性肝炎的系统评价和 meta 分析
Khadijeh Moulaei,Hamid Sharifi,Kambiz Bahaadinbeigy et al.
Khadijeh Moulaei et al.
Background: Lack of accurate and timely diagnosis of hepatitis poses obstacles to effective treatment, disease progression prevention, complication reduction, and life-saving interventions of patients. Utilizing machine l...
An examination of the content of diabetes websites targeting Arabic speakers [0.03%]
针对阿拉伯语糖尿病患者的网站内容分析
Obead Alhadreti
Obead Alhadreti
Background: There has been an increase in the numbers of people in the Middle East and North Africa (MENA) region seeking online information about diabetes, as the Internet is considered a helpful tool for finding informa...
Challenges and promises of mixed-reality interventions in acquired brain injury rehabilitation: A scoping review [0.03%]
获得性脑损伤康复中混合现实干预的挑战与前景：系统综述
Mathieu Figeys,Farnaz Koubasi,Doyeon Hwang et al.
Mathieu Figeys et al.
Background: Acquired brain injury (ABI) can lead to significant impairments and difficulties in everyday life, necessitating the need for rehabilitation. Mixed-reality (MR) technologies have revolutionized the delivery of...
On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice [0.03%]
机器学习方法从语音检测帕金森病的跨数据集泛化能力研究
Máté Hireš,Peter Drotár,Nemuel Daniel Pah et al.
Máté Hireš et al.
Background and objective: Parkinson's disease is the second-most-common neurodegenerative disorder that affects motor skills, cognitive processes, mood, and everyday tasks such as speaking and walking. The voices of peopl...
Opportunities for standardization in emergency scenarios in the European Union [0.03%]
欧盟紧急情况下的标准化机遇
Sergio López Bernal,Mario Quiles Pérez,Enrique Tomás Martínez Beltrán et al.
Sergio López Bernal et al.
Objective: Despite current standardization actions towards the unification between European Union (EU) countries, there is still much work to do. In this context, this paper aims to offer a comprehensive analysis of the l...
Evaluating the performance of an integrated evidence-based nursing knowledge management (I-EBNKM) platform in real-world clinical environments [0.03%]
评估集成循证护理知识管理（I-EBNKM）平台在真实临床环境中的性能
Myonghwa Park,Insook Jang,Sung Lim Kim et al.
Myonghwa Park et al.
Background: For evidence-based knowledge to be applicable in clinical practice, providing support for and the management of knowledge is required to ensure the effective sharing of appropriate expertise across healthcare ...