Machine learning models for synthesizing actionable care decisions on lower extremity wounds [0.03%]
用于下肢伤口护理决策的可操作性合成的机器学习模型
Holly Nguyen,Emmanuel Agu,Bengisu Tulu et al.
Holly Nguyen et al.
Lower extremity chronic wounds affect 4.5 million Americans annually. Due to inadequate access to wound experts in underserved areas, many patients receive non-uniform, non-standard wound care, resulting in increased costs and lower quality...
Wi-COVID: A COVID-19 symptom detection and patient monitoring framework using WiFi [0.03%]
Wi-COVID：一种使用WiFi检测COVID-19症状和监测患者的框架
Fangyu Li,Maria Valero,Hossain Shahriar et al.
Fangyu Li et al.
The current SARS-CoV-2, better know as COVID-19, has emerged as a serious pandemic with life-threatening clinical manifestations and a high mortality rate. One of the major complications of this disease is the rapid and dangerous pulmonary ...
Automatic Depression Prediction Using Internet Traffic Characteristics on Smartphones [0.03%]
利用智能手机上的互联网流量特性自动预测抑郁症
Chaoqun Yue,Shweta Ware,Reynaldo Morillo et al.
Chaoqun Yue et al.
Depression is a serious mental health problem. Recently, researchers have proposed novel approaches that use sensing data collected passively on smartphones for automatic depression screening. While these studies have explored several types...
Secure Sharing of mHealth Data Streams through Cryptographically-Enforced Access Control [0.03%]
基于密码技术的mHealth数据流安全共享访问控制方法
Emily Greene,Patrick Proctor,David Kotz
Emily Greene
Owners of mobile-health apps and devices often want to share their mHealth data with others, such as physicians, therapists, coaches, and caregivers. For privacy reasons, however, they typically want to share a limited subset of their infor...
Improving Pain Management in Patients with Sickle Cell Disease from Physiological Measures Using Machine Learning Techniques [0.03%]
基于生理参数的机器学习技术在改善镰状细胞病患者镇痛管理中的应用
Fan Yang,Tanvi Banerjee,Kalindi Narine et al.
Fan Yang et al.
Pain management is a crucial part in Sickle Cell Disease treatment. Accurate pain assessment is the first stage in pain management. However, pain is a subjective response and hard to assess via objective approaches. In this paper, we propos...
Reza Sadeghi,Tanvi Banerjee,William Romine
Reza Sadeghi
Early hospital mortality prediction is critical as intensivists strive to make efficient medical decisions about the severely ill patients staying in intensive care units (ICUs). As a result, various methods have been developed to address t...
Reducing Pulse Oximetry False Alarms Without Missing Life-Threatening Events [0.03%]
减少脉搏氧饱和度假阳性报警而不会遗漏危及生命的事件
Hung Nguyen,Sooyong Jang,Radoslav Ivanov et al.
Hung Nguyen et al.
Alarm fatigue has been increasingly recognized as one of the most significant problems in the hospital environment. One of the major causes is the excessive number of false physiologic monitor alarms. An underlying problem is the inefficien...
Drug-Drug Interaction Discovery: Kernel Learning from Heterogeneous Similarities [0.03%]
基于异构相似性的药物相互作用发现：核方法学习
Devendra Singh Dhami,Gautam Kunapuli,Mayukh Das et al.
Devendra Singh Dhami et al.
We develop a pipeline to mine complex drug interactions by combining different similarities and interaction types (molecular, structural, phenotypic, genomic etc). Our goal is to learn an optimal kernel from these heterogeneous similarities...
Validating a Commercial Device for Continuous Activity Measurement in the Older Adult Population for Dementia Management [0.03%]
用于痴呆症管理的老年人群体连续活动测量商用设备的有效性验证
Tanvi Banerjee,Matthew Peterson,Quintin Oliver et al.
Tanvi Banerjee et al.
With the introduction of the large number of fitness devices on the market, there are numerous possibilities for their use in managing chronic diseases in older adults. For example, monitoring people with dementia using commercially availab...
Byte by Bite: Use of a mobile Bite Counter and weekly behavioral challenges to promote weight loss [0.03%]
以移动设备记录的每次进食行为促进减肥：一项概念验证研究
Gabrielle M Turner-McGrievy,Alycia Boutté,Anthony Crimarco et al.
Gabrielle M Turner-McGrievy et al.
The goal of this study was to examine the usability and feasibility of the mobile Bite Counter (a watch-like device that detects when a user consumes food or beverage) and the impact of weekly behavioral challenges on diet and physical acti...