Multi-Source Data and Knowledge Fusion via Deep Learning for Dynamical Systems: Applications to Spatiotemporal Cardiac Modeling [0.03%]
基于深度学习的多源数据和知识融合在动力学系统中的应用：时空心脏建模研究
Bing Yao
Bing Yao
Advanced sensing and imaging provide unprecedented opportunities to collect data from diverse sources for increasing information visibility in spatiotemporal dynamical systems. Furthermore, the fundamental physics of the dynamical system is...
Early Prediction of Progression to Alzheimer's Disease using Multi-Modality Neuroimages by a Novel Ordinal Learning Model ADPacer [0.03%]
一种新的序数学习模型ADPacer的阿尔茨海默病早期预测研究
Lujia Wang,Zhiyang Zheng,Yi Su et al.
Lujia Wang et al.
Machine learning has shown great promise for integrating multi-modality neuroimaging datasets to predict the risk of progression/conversion to Alzheimer's Disease (AD) for individuals with Mild Cognitive Impairment (MCI). Most existing work...
Radiotherapy toxicity prediction using knowledge-constrained generalized linear model [0.03%]
基于知识的广义线性模型在放射治疗毒副反应预测中的应用研究
Jiuyun Hu,Mirek Fatyga,Wei Liu et al.
Jiuyun Hu et al.
Radiation therapy (RT) is a frontline approach to treating cancer. While the target of radiation dose delivery is the tumor, there is an inevitable spill of dose to nearby normal organs causing complications. This phenomenon is known as rad...
Mapping the process of ICU care delivery to improve treatment decisions in acute respiratory failure [0.03%]
将ICU治疗流程划分为改善急性呼吸衰竭治疗决策的方案
Jacqueline M Kruser,Elizabeth M Viglianti,Ruben Mylvaganam et al.
Jacqueline M Kruser et al.
Evidence suggests system-level norms and care processes influence individual patients' medical decisions, including end-of-life decisions for patients with critical illnesses like acute respiratory failure. Yet, little is known about how th...
A Novel Sparse Linear Mixed Model for Multi-Source Mixed-Frequency Data Fusion in Telemedicine [0.03%]
一种新颖的稀疏线性混合模型在远程医疗中的多源混频数据融合中的应用
Wesam Alramadeen,Yu Ding,Carlos Costa et al.
Wesam Alramadeen et al.
Digital health and telemonitoring have resulted in a wealth of information to be collected to monitor, manage, and improve human health. The multi-source mixed-frequency health data overwhelm the modeling capacity of existing statistical an...
Predicting Colorectal Surgery Readmission Risk: a Surgery-Specific Predictive Model [0.03%]
结直肠手术再入院风险预测：建立特定术式的预测模型
Thomas Clark Howell,Stephanie Lumpkin,Nicole Chaumont
Thomas Clark Howell
Most current predictive models for risk of readmission were primarily designed from non-surgical patients and often utilize administrative data alone. Models built upon comprehensive data sources specific to colorectal surgery may be key to...
Gradient Boosted Trees for Spatial Data and Its Application to Medical Imaging Data [0.03%]
空间数据的梯度提升树及其在医学影像数据中的应用
Reza Iranzad,Xiao Liu,W Art Chaovalitwongse et al.
Reza Iranzad et al.
Boosting Trees are one of the most successful statistical learning approaches that involve sequentially growing an ensemble of simple regression trees ("weak learners"). This paper proposes a gradient Boosted Trees algorithm for Spatial Dat...
Minimally Trained Analysts Can Perform Fast, Objective Assessment of Orthopedic Technical Skill from Fluoroscopic Images [0.03%]
最少训练的分析人员可以快速，客观地评估从荧光图像中的骨科技术水平
Dominik D Mattioli,Geb W Thomas,Steven A Long et al.
Dominik D Mattioli et al.
Skill assessment in orthopedics has traditionally relied on subjective impressions from a supervising surgeon. The feedback derived from these tools may be limited by bias and other practical issues. Objective analysis of intraoperative flu...
Jingshan Li,Pascale Carayon
Jingshan Li
Industry 4.0 has transformed manufacturing industry into a new paradigm. In a manner similar to manufacturing, health care delivery is at the dawn of a foundational change into the new era of smart and connected health care, referred to as ...
Detecting spatial susceptibility to cardiac toxicity of radiation therapy for lung cancer [0.03%]
检测肺癌放射治疗心脏毒性的空间敏感性
Xiaonan Liu,Mirek Fatyga,Steven E Schild et al.
Xiaonan Liu et al.
Radiation therapy (RT) is a commonly used approach for treating lung cancer. Because the lungs are close to the heart, radiation dose may inevitably spill to the heart, causing heart damage and diminishing treatment outcomes. There is an ur...