Unraveling a blockchain-based framework towards patient empowerment: A scoping review envisioning future smart health technologies [0.03%]
基于区块链的框架赋能患者：展望未来智能健康技术的系统综述
Fahim Islam Anik,Nazmus Sakib,Hossain Shahriar et al.
Fahim Islam Anik et al.
The COVID-19 pandemic shows us how crucial patient empowerment can be in the healthcare ecosystem. Now, we know that scientific advancement, technology integration, and patient empowerment need to be orchestrated to realize future smart hea...
Use of machine learning to predict medication adherence in individuals at risk for atherosclerotic cardiovascular disease [0.03%]
利用机器学习预测动脉粥样硬化性心血管疾病高危人群的用药依从性
Seyed Iman Mirzadeh,Asiful Arefeen,Jessica Ardo et al.
Seyed Iman Mirzadeh et al.
Background: Medication nonadherence is a critical problem with severe implications in individuals at risk for atherosclerotic cardiovascular disease. Many studies have attempted to predict medication adherence in this pop...
Short: Causal structural learning of conversational engagement for socially isolated older adults [0.03%]
简短标题：用于社交隔离老年人的对话参与因果结构学习
Fengpei Yuan,Wenjun Zhou,Hiroko H Dodge et al.
Fengpei Yuan et al.
Social isolation has become a growing public health concern in older adults and older adults with mild cognitive impairment. Coping strategies must be developed to increase social contact for socially isolated older adults. In this paper, w...
Real-time face mask position recognition system based on MobileNet model [0.03%]
基于MobileNet模型的实时口罩位置识别系统
Md Hafizur Rahman,Mir Kanon Ara Jannat,Md Shafiqul Islam et al.
Md Hafizur Rahman et al.
COVID-19 is a highly contagious disease that was first identified in 2019, and has since taken more than six million lives world wide till date, while also causing considerable economic, social, cultural and political turmoil. As a way to l...
Feasibility and user acceptability of Breezing™, a mobile indirect calorimetry device, in pregnant women with overweight or obesity [0.03%]
Breezing™，一种移动间接热量测量设备，在超重或肥胖的孕妇中的可行性和用户接受度
Krista S Leonard,Abigail M Pauley,Penghong Guo et al.
Krista S Leonard et al.
Emerging evidence has suggested that prenatal resting energy expenditure (REE) may be an important determinant of gestational weight gain. Advancements in technology such as the real-time, mobile indirect calorimetry device (Breezing™) hav...
Towards virtual doctor consultations: A call for the scale-up of telemedicine in sub-Saharan Africa during COVID-19 lockdowns and beyond [0.03%]
迈向虚拟医生咨询：呼吁在COVID-19封锁期间及以后扩大撒哈拉以南非洲的远程医疗服务规模
Itai Chitungo,Malizgani Mhango,Mathias Dzobo et al.
Itai Chitungo et al.
The outbreak of COVID-19 has resulted in adoption and implementation of mitigatory policies, including movement restrictions (lockdowns) to curb its spread. These lockdowns have brought unintended consequences such as increasing the inequal...
Xingzhe Song,Hongshuai Li,Wei Gao
Xingzhe Song
Muscle fatigue is common among humans and also a crucial indicator of many muscular diseases such as muscular dystrophy and disorders. Timely evaluation of muscle fatigue, hence, is important to track disease progress and avoid disease exac...
Vehicular networks for combating a worldwide pandemic: Preventing the spread of COVID-19 [0.03%]
用于防控全球性流行病的汽车网络：阻止COVID-19蔓延
Ahmet M Elbir,Gokhan Gurbilek,Burak Soner et al.
Ahmet M Elbir et al.
As a worldwide pandemic, the coronavirus disease-19 (COVID-19) has caused serious restrictions in people's social life, along with the loss of lives, the collapse of economies and the disruption of humanitarian aids. Despite the advance of ...
A machine learning study of COVID-19 serology and molecular tests and predictions [0.03%]
基于机器学习的COVID-19血清学和分子检测及预测研究
Magdalyn E Elkin,Xingquan Zhu
Magdalyn E Elkin
Serology and molecular tests are the two most commonly used methods for rapid COVID-19 infection testing. The two types of tests have different mechanisms to detect infection, by measuring the presence of viral SARS-CoV-2 RNA (molecular tes...
Spatial-Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting [0.03%]
用于COVID-19预测的时空同步图变换网络（STSGT）
Soumyanil Banerjee,Ming Dong,Weisong Shi
Soumyanil Banerjee
COVID-19 has become a matter of serious concern over the last few years. It has adversely affected numerous people around the globe and has led to the loss of billions of dollars of business capital. In this paper, we propose a novel Spatia...