Patient-facing cancer mobile apps that enable patient reported outcome data to be collected: A systematic review of content, functionality, quality, and ability to integrate with electronic health records [0.03%]
用于收集患者报告结果数据的面向患者的癌症移动应用程序的系统评价：内容，功能，质量和与电子健康记录整合的能力
Amy Vercell,Norina Gasteiger,Janelle Yorke et al.
Amy Vercell et al.
Purpose: Enabling cancer patients to self-manage symptoms through mobile applications can result in more informed, autonomous patients who are partners in their care, consequently reducing the burden on health services. E...
How do patients with chronic dizziness experience a web-based home rehabilitation programme for customised vestibular therapy ('WeBaVeR')? A qualitative study [0.03%]
慢性头晕患者如何体验基于网络的定制式前庭疗法家庭康复项目('WeBaVeR')？一项定性研究
Charlotte De Vestel,Willem De Hertogh,Vincent Van Rompaey et al.
Charlotte De Vestel et al.
Background: Vestibular rehabilitation therapy (VRT) is the first choice approach for chronic dizziness. However, current home treatment programmes often lack attention to the individual needs of the patient and the integr...
Setting up of a machine learning algorithm for the identification of severe liver fibrosis profile in the general US population cohort [0.03%]
在美国普通人群中设置机器学习算法以识别严重肝纤维化特征PROFILE的设定
Samir Hassoun,Chiara Bruckmann,Stefano Ciardullo et al.
Samir Hassoun et al.
Background: The progress of digital transformation in clinical practice opens the door to transforming the current clinical line for liver disease diagnosis from a late-stage diagnosis approach to an early-stage based one...
External validation of prediction models for patient-reported outcome measurements collected using the selfBACK mobile app [0.03%]
使用selfBACK移动应用程序收集的患者报告结局测量预测模型的外部验证
Deepika Verma,Kerstin Bach,Paul Jarle Mork
Deepika Verma
Background: External validation is essential in examining the disparities in the training and validation cohorts during the development of prediction models, especially when the application domain is healthcare-oriented. ...
Johannes Heyl,Flavien Hardy,Katie Tucker et al.
Johannes Heyl et al.
Introduction: Large healthcare datasets can provide insight that has the potential to improve outcomes for patients. However, it is important to understand the strengths and limitations of such datasets so that the insigh...
İlkim Ecem Emre,Çiğdem Erol,Cumhur Taş et al.
İlkim Ecem Emre et al.
Background: Physicians follow-up a symptom-based approach in the diagnosis of psychiatric diseases. According to this approach, a process based on internationally valid diagnostic tools such as The Diagnostic and Statisti...
Towards semantic-driven boolean query formalization for biomedical systematic literature reviews [0.03%]
面向语义驱动的生物医学系统文献回顾布尔查询形式化研究
Mohammadreza Pourreza,Faezeh Ensan
Mohammadreza Pourreza
Objective: Study identification refers to formalizing an effective search over biomedical databases for retrieving all eligible evidence for a systematic review. Manual construction of queries, where a user submit a searc...
Exploring experiences and needs of perinatal women in digital healthcare: A meta-ethnography of qualitative evidence [0.03%]
探索围产期妇女在数字医疗中的体验和需求：定性证据的meta-民族志分析
Ying Lau,Sai Ho Wong,Ling Jie Cheng et al.
Ying Lau et al.
Objective: The aim of this review is to identify, appraise, and synthesize the available qualitative evidence on the experiences and needs of perinatal women by using digital technologies in healthcare. ...
Strengthening capacities of multidisciplinary professionals to apply data science in public health: Experience of an international graduate diploma program in Peru [0.03%]
加强多学科专业人士在公共卫生中应用数据科学的能力：秘鲁一个国际研究生文凭课程的体验
Alfonso Gutiérrez-Aguado,Walter H Curioso,José Carlos Machicao et al.
Alfonso Gutiérrez-Aguado et al.
Nowadays it is necessary to strengthen health information systems and data-based solutions. However, there are few graduate training programs in Peru to use tools and methods of data science applied in public health. This article describes ...
Quorum-based model learning on a blockchain hierarchical clinical research network using smart contracts [0.03%]
基于区块链分层临床研究网络的共识模型学习使用智能合约
Tsung-Ting Kuo,Anh Pham
Tsung-Ting Kuo
Background: Collaborative privacy-preserving modeling across several healthcare institutions allows for the construction of more generalizable predictive models while protecting patient privacy. ...