Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study [0.03%]
中国接受化疗的乳腺癌患者的体重管理人格：一种多方法研究
Xinyu Li,Nan Zhang,Juan Yang et al.
Xinyu Li et al.
Background: Mobile health (mHealth) may be an ideal solution for breast cancer (BC) patients in China to access weight management interventions. User retention and engagement are the main challenges faced by mHealth appli...
A NLP-based semi-automatic identification system for delays in follow-up examinations: an Italian case study on clinical referrals [0.03%]
基于NLP的半自动识别系统中延迟随访检查的情况：意大利临床转诊案例研究
Vittorio Torri,Michele Ercolanoni,Francesco Bortolan et al.
Vittorio Torri et al.
Background: This study aims to propose a semi-automatic method for monitoring the waiting times of follow-up examinations within the National Health System (NHS) in Italy, which is currently not possible to due the absenc...
An ensemble model for predicting dispositions of emergency department patients [0.03%]
一种预测急诊患者去向的集成模型
Kuang-Ming Kuo,Yih-Lon Lin,Chao Sheng Chang et al.
Kuang-Ming Kuo et al.
Objective: The healthcare challenge driven by an aging population and rising demand is one of the most pressing issues leading to emergency department (ED) overcrowding. An emerging solution lies in machine learning's pot...
Prediction models for postoperative recurrence of non-lactating mastitis based on machine learning [0.03%]
基于机器学习的非哺乳期乳腺炎术后复发预测模型
Jiaye Sun,Shijun Shao,Hua Wan et al.
Jiaye Sun et al.
Objectives: This study aims to build a machine learning (ML) model to predict the recurrence probability for postoperative non-lactating mastitis (NLM) by Random Forest (RF) and XGBoost algorithms. It can provide the abil...
Mapping of Alzheimer's disease related data elements and the NIH Common Data Elements [0.03%]
阿尔茨海默病相关数据元素与美国国立卫生研究院通用数据元素的对应关系图谱研究
Xubing Hao,Rashmie Abeysinghe,Fengbo Zheng et al.
Xubing Hao et al.
Background: Alzheimer's Disease (AD) is a devastating disease that destroys memory and other cognitive functions. There has been an increasing research effort to prevent and treat AD. In the US, two major data sharing res...
Autonomous fetal morphology scan: deep learning + clustering merger - the second pair of eyes behind the doctor [0.03%]
智能胎儿解剖结构扫描：深度学习+聚类融合-助力医生的第二双眼
Smaranda Belciug
Smaranda Belciug
The main cause of fetal death, of infant morbidity or mortality during childhood years is attributed to congenital anomalies. They can be detected through a fetal morphology scan. An experienced sonographer (with more than 2000 performed sc...
An insight into the use of telemedicine technology for cancer patients during the Covid-19 pandemic: a scoping review [0.03%]
新冠肺炎疫情期间癌症患者的远程医疗技术使用状况透视：系统综述式回顾研究
Esmaeel Toni,Haleh Ayatollahi
Esmaeel Toni
Background: The use of telemedicine technology has significantly increased in recent years, particularly during the Covid-19 pandemic. This study aimed to investigate the use of telemedicine technology for cancer patients...
Individuals' attitudes toward digital mental health apps and implications for adoption in Portugal: web-based survey [0.03%]
葡萄牙人使用数字心理健康应用程序的态度及其采用情况调查研究
Diogo Nogueira-Leite,Manuel Marques-Cruz,Ricardo Cruz-Correia
Diogo Nogueira-Leite
Background: The literature is consensual regarding the academic community exhibiting higher levels of mental disorder prevalence than the general population. The potential of digital mental health apps for improving acces...
Decision discovery using clinical decision support system decision log data for supporting the nurse decision-making process [0.03%]
基于临床决策支持系统决策日志数据的护理人员决策过程辅助发现研究
Matthijs Berkhout,Koen Smit,Johan Versendaal
Matthijs Berkhout
Background: Decision-making in healthcare is increasingly complex; notably in hospital environments where the information density is high, e.g., emergency departments, oncology departments, and psychiatry departments. Thi...
Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application [0.03%]
育龄期女性癫痫全生命周期管理的本体构建及应用
Yilin Xia,Yifei Duan,Leihao Sha et al.
Yilin Xia et al.
Background: The effective management of epilepsy in women of child-bearing age necessitates a concerted effort from multidisciplinary teams. Nevertheless, there exists an inadequacy in the seamless exchange of knowledge a...