Virtual body image exercises for people with obesity - results on eating behavior and body perception of the ViTraS pilot study [0.03%]
虚拟身体形象练习针对肥胖人群——ViTraS试点研究中关于进食行为和躯体感知的结果
Kathrin Gemesi,Nina Döllinger,Natascha-Alexandra Weinberger et al.
Kathrin Gemesi et al.
Background: A negative body image can have an impact on developing and maintaining obesity. Using virtual reality (VR) to conduct cognitive behavioral therapy (CBT) is an innovative approach to treat people with obesity. ...
SEM model analysis of diabetic patients' acceptance of artificial intelligence for diabetic retinopathy [0.03%]
糖尿病患者接受人工智能进行糖尿病视网膜病变筛查的意向模型分析
Luchang Jin,Yanmin Tao,Ya Liu et al.
Luchang Jin et al.
Aims: This study aimed to investigate diabetic patients' acceptance of artificial intelligence (AI) devices for diabetic retinopathy screening and the related influencing factors. ...
Simulating the overload of medical processes due to system failures during a cyberattack [0.03%]
模拟网络攻击期间系统故障导致的医疗流程过载
Markus Willing,Simon Ebbers,Christian Dresen et al.
Markus Willing et al.
Today's medical IT is more and more connected and network or IT system outages may impact the quality of patient treatment. IT outages from cyberattacks are particularly worrisome if attackers focus on those medical IT devices that are crit...
ABiMed: An intelligent and visual clinical decision support system for medication reviews and polypharmacy management [0.03%]
ABiMed：一种智能且可视的临床决策支持系统用于用药审查和多重用药管理
Mouazer Abdelmalek,Léguillon Romain,Boudegzdame Nada et al.
Mouazer Abdelmalek et al.
Background: Polypharmacy can be both a public health and an economic issue. Medication reviews are structured interviews of the patient by the pharmacist, aiming at optimizing the drug treatment and deprescribing potentia...
Explainable machine learning algorithm to predict cardiovascular event in patients undergoing peritoneal dialysis [0.03%]
一种可解释的机器学习算法 可以预测腹膜透析患者的心血管事件
Qiqi Yan,Guiling Liu,Ruifeng Wang et al.
Qiqi Yan et al.
Objective: To compare the performance of predictive models for cardiovascular event (CVE) in patients undergoing peritoneal dialysis (PD) based on machine learning algorithm and Cox proportional hazard regression. ...
Hierarchical embedding attention for overall survival prediction in lung cancer from unstructured EHRs [0.03%]
基于非结构化EHR的肺癌生存预测的层次嵌入注意力模型
Domenico Paolo,Carlo Greco,Alessio Cortellini et al.
Domenico Paolo et al.
The automated processing of Electronic Health Records (EHRs) poses a significant challenge due to their unstructured nature, rich in valuable, yet disorganized information. Natural Language Processing (NLP), particularly Named Entity Recogn...
Applications of machine learning approaches for pediatric asthma exacerbation management: a systematic review [0.03%]
机器学习在儿科哮喘急性发作管理中的应用：系统性综述
Chunni Zhou,Liu Shuai,Hao Hu et al.
Chunni Zhou et al.
Background: Pediatric asthma is a common chronic respiratory disease worldwide, and its acute exacerbation events significantly impact children's health and quality of life. Machine learning, an advanced data analysis tec...
A machine learning-based severity stratification tool for high altitude pulmonary edema [0.03%]
一种基于机器学习的HAPE严重程度分类工具
Luobu Gesang,Yangzong Suona,Zhuoga Danzeng et al.
Luobu Gesang et al.
This study aimed to identify key predictors for the severity of High Altitude Pulmonary Edema (HAPE) to assist clinicians in promptly recognizing severely affected patients in the emergency department, thereby reducing associated mortality ...
A machine learning-based framework for predicting postpartum chronic pain: a retrospective study [0.03%]
一种基于机器学习的预测产后慢性疼痛的框架：回顾性研究
Fan Liu,Ting Li,Dongxu Zhou et al.
Fan Liu et al.
Background: Postpartum chronic pain is prevalent, affecting many women after delivery. Machine learning algorithms have been widely used in predicting postoperative conditions. We investigated the prevalence of and risk f...
Automated machine learning for early prediction of systemic inflammatory response syndrome in acute pancreatitis [0.03%]
自动机器学习在急性胰腺炎全身炎症反应综合征早期预测中的应用
Rufa Zhang,Shiqi Zhu,Li Shi et al.
Rufa Zhang et al.
Background: Systemic inflammatory response syndrome (SIRS) is a frequent and serious complication of acute pancreatitis (AP), often associated with increased mortality. This study aims to leverage automated machine learni...