Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal [0.03%]
基于视觉注意力模型和眼动追踪的计算机辅助自闭症诊断：重复实验与改进建议
Felipe O Franco,Jessica S Oliveira,Joana Portolese et al.
Felipe O Franco et al.
Background: Autism Spectrum Disorder (ASD) diagnosis can be aided by approaches based on eye-tracking signals. Recently, the feasibility of building Visual Attention Models (VAMs) from features extracted from visual stimu...
Correction: The impact of data from remote measurement technology on the clinical practice of healthcare professionals in depression, epilepsy and multiple sclerosis: survey [0.03%]
关于远程测量技术数据对抑郁、癫痫和多发性硬化症患者临床实践影响的调查的更正通知
J A Andrews,M P Craven,A R Lang et al.
J A Andrews et al.
Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis [0.03%]
机器学习在预测脓毒症相关死亡中的应用：系统回顾和meta分析
Yan Zhang,Weiwei Xu,Ping Yang et al.
Yan Zhang et al.
Background and objectives: Sepsis is accompanied by a considerably high risk of mortality in the short term, despite the availability of recommended mortality risk assessment tools. However, these risk assessment tools se...
Correction: Diagnosis of cardiac abnormalities based on phonocardiogram using a novel fuzzy matching feature extraction method [0.03%]
Correction:基于新型模糊匹配特征提取方法的听诊心电图心脏异常诊断方法
Wanrong Yang,Jiajie Xu,Junhong Xiang et al.
Wanrong Yang et al.
Data-driven meal events detection using blood glucose response patterns [0.03%]
基于血糖响应模式的用餐事件数据驱动检测方法
Danilo F de Carvalho,Uzay Kaymak,Pieter Van Gorp et al.
Danilo F de Carvalho et al.
Background: In the Diabetes domain, events such as meals and exercises play an important role in the disease management. For that, many studies focus on automatic meal detection, specially as part of the so-called artific...
Design, development and evaluation of a mobile-based self-care application for patients with COVID-19 not requiring hospitalization; a study of Northwest of Iran [0.03%]
一项针对伊朗西北部无需住院治疗的COVID-19患者的移动自护理应用的设计、开发和评估研究
Mohammad Heydari,Esmaeil Mehraeen,Elham Javaherikiyan et al.
Mohammad Heydari et al.
Background: Given the effective role of a mobile applications in disease management, disease monitoring, and self-care in patients with COVID-19 disease, we aimed to design, development and evaluation of a self-care Mobil...
21st century (clinical) decision support in nursing and allied healthcare. Developing a learning health system: a reasoned design of a theoretical framework [0.03%]
21世纪(临床)护理及卫护专业决策支持：构建学习医疗体系：理论框架的设计与思考
Mark van Velzen,Helen I de Graaf-Waar,Tanja Ubert et al.
Mark van Velzen et al.
In this paper, we present a framework for developing a Learning Health System (LHS) to provide means to a computerized clinical decision support system for allied healthcare and/or nursing professionals. LHSs are well suited to transform he...
AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach [0.03%]
基于人工智能和语义本体的个性化活动e教练在健康生活方式建议中的应用：一种元启发式方法
Ayan Chatterjee,Nibedita Pahari,Andreas Prinz et al.
Ayan Chatterjee et al.
Background: Automated coaches (eCoach) can help people lead a healthy lifestyle (e.g., reduction of sedentary bouts) with continuous health status monitoring and personalized recommendation generation with artificial inte...
Usability evaluation of emergency information systems in educational hospitals in Kerman, Iran [0.03%]
伊朗克尔曼教育医院紧急信息系统的可用性评价
Farzaneh Behnam,Reza Khajouei,Amir Hossein Nabizadeh et al.
Farzaneh Behnam et al.
Background: Smart and practical health information systems and applications with fewer errors are crucial for healthcare facilities. One method that ensures the proper design of health information systems (HIS) and applic...
Use of sentiment analysis for capturing hospitalized cancer patients' experience from free-text comments in the Persian language [0.03%]
用于从住院癌症患者的波斯语自由文本评论中捕捉情感分析的经验
Azita Yazdani,Mohammad Shamloo,Mina Khaki et al.
Azita Yazdani et al.
Purpose: Today, the Internet provides access to many patients' experiences, which is crucial in assessing the quality of healthcare services. This paper introduces a model for detecting cancer patients' opinions about hea...