Rehab-AMD: co-design of an application for visual rehabilitation and monitoring of Age-related Macular Degeneration [0.03%]
基于康复的AMD算法及其应用系统开发与实现：以年龄相关性黄斑变性疾病为例
Guadalupe González-Montero,María Guijarro Mata-García,Carlos Moreno Martínez et al.
Guadalupe González-Montero et al.
Background: The increasing demand for remote medical care, driven by digital healthcare advancements and the COVID-19 pandemic, necessitates effective solutions tailored to patients and healthcare practitioners. Co-design...
Prediction of midpalatal suture maturation stage based on transfer learning and enhanced vision transformer [0.03%]
基于迁移学习和增强视觉变压器的腭中缝发育分期预测
Haomin Tang,Shu Liu,Weijie Tan et al.
Haomin Tang et al.
Background: Maxillary expansion is an important treatment method for maxillary transverse hypoplasia. Different methods of maxillary expansion should be carried out depending on the midpalatal suture maturation levels, an...
Usability evaluation of electronic health records at the trauma and emergency directorates at the Komfo Anokye teaching hospital in the Ashanti region of Ghana [0.03%]
加纳阿散蒂地区库姆福·阿诺克伊教学医院创伤和急诊科电子健康记录的可用性评估
Edith Antor,Joseph Owusu-Marfo,Jonathan Kissi
Edith Antor
Background: Electronic health records (EHRs) are currently gaining popularity in emerging economies because they provide options for exchanging patient data, increasing operational efficiency, and improving patient outcom...
Correction: Creating a health informatics data resource for hearing health research [0.03%]
Hearing健康研究的卫生信息学数据资源的创建（勘误）
Nishchay Mehta,Baptiste Briot Ribeyre,Lilia Dimitrov et al.
Nishchay Mehta et al.
Machine learning model predicts airway stenosis requiring clinical intervention in patients after lung transplantation: a retrospective case-controlled study [0.03%]
机器学习模型预测肺移植患者的气道狭窄并指导临床干预：一项回顾性病例对照研究
Dong Tian,Yu-Jie Zuo,Hao-Ji Yan et al.
Dong Tian et al.
Background: Patients with airway stenosis (AS) are associated with considerable morbidity and mortality after lung transplantation (LTx). This study aims to develop and validate machine learning (ML) models to predict AS ...
Prediction of sepsis mortality in ICU patients using machine learning methods [0.03%]
基于机器学习的方法预测ICU患者脓毒症病死率
Jiayi Gao,Yuying Lu,Negin Ashrafi et al.
Jiayi Gao et al.
Problem: Sepsis, a life-threatening condition, accounts for the deaths of millions of people worldwide. Accurate prediction of sepsis outcomes is crucial for effective treatment and management. Previous studies have utili...
Patient profiled data for treatment decision-making: valuable as an add-on to hepatitis C clinical guidelines? [0.03%]
患者个人资料数据在丙型肝炎临床指南指导下进行治疗决策方面的应用价值几何？
Sylvia M Brakenhoff,Thymen Theijse,Peter van Wijngaarden et al.
Sylvia M Brakenhoff et al.
Background and aims: Systematic reviews and medical guidelines are widely used in clinical practice. However, these are often not up-to-date and focussed on the average patient. We therefore aimed to evaluate a guideline ...
Community perspectives on the use of electronic health data to support reflective practice by health professionals [0.03%]
社区成员视角：利用电子健康数据支持卫生专业人员反思实践
Anna Janssen,Kavisha Shah,Melanie Keep et al.
Anna Janssen et al.
Background: Electronic health records and other clinical information systems have crucial roles in health service delivery and are often utilised for patient care as well as health promotion and research. Government agenc...
Prediction of 30-day mortality for ICU patients with Sepsis-3 [0.03%]
基于SEPSIS-3标准的ICU内重症感染患者的30天死亡率预测模型研究
Zhijiang Yu,Negin Ashrafi,Hexin Li et al.
Zhijiang Yu et al.
Background: There is a growing demand for advanced methods to improve the understanding and prediction of illnesses. This study focuses on Sepsis, a critical response to infection, aiming to enhance early detection and mo...
A risk prediction model based on machine learning algorithm for parastomal hernia after permanent colostomy [0.03%]
基于机器学习算法的永久性结肠造口术后腰疝风险预测模型
Tian Dai,Manzhen Bao,Miao Zhang et al.
Tian Dai et al.
Objective: To develop a machine learning-based risk prediction model for postoperative parastomal hernia (PSH) in colorectal cancer patients undergoing permanent colostomy, assisting nurses in identifying high-risk groups...