Acute pulmonary embolism: cost-effectiveness analysis of the effect of artificial neural networks on patient care.

Radiology ◽  
1998 ◽  
Vol 206 (1) ◽  
pp. 81-88 ◽  
Author(s):  
G D Tourassi ◽  
C E Floyd ◽  
R E Coleman
2018 ◽  
Vol 11 (4) ◽  
pp. 137-154 ◽  
Author(s):  
Lei Li ◽  
Min Feng ◽  
Lianwen Jin ◽  
Shenjin Chen ◽  
Lihong Ma ◽  
...  

Online services are now commonly deployed via cloud computing based on Infrastructure as a Service (IaaS) to Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS). However, workload is not constant over time, so guaranteeing the quality of service (QoS) and resource cost-effectiveness, which is determined by on-demand workload resource requirements, is a challenging issue. In this article, the authors propose a neural network-based-method termed domain knowledge embedding regularization neural networks (DKRNN) for large-scale workload prediction. Based on analyzing the statistical properties of a real large-scale workload, domain knowledge, which provides extended information about workload changes, is embedded into artificial neural networks (ANN) for linear regression to improve prediction accuracy. Furthermore, the regularization with noisy is combined to improve the generalization ability of artificial neural networks. The experiments demonstrate that the model can achieve more accuracy of workload prediction, provide more adaptive resource for higher resource cost effectiveness and have less impact on the QoS.


2004 ◽  
Vol 191 (3) ◽  
pp. 1019-1023 ◽  
Author(s):  
Nora M. Doyle ◽  
Mildred M. Ramirez ◽  
Joan M. Mastrobattista ◽  
Manju Monga ◽  
Louis K. Wagner ◽  
...  

2016 ◽  
Vol 19 (7) ◽  
pp. A554
Author(s):  
G Gourzoulidis ◽  
G Kourlaba ◽  
J Kakisis ◽  
M Matsagkas ◽  
G Giannakoulas ◽  
...  

2017 ◽  
Vol 37 (9) ◽  
pp. 833-844 ◽  
Author(s):  
George Gourzoulidis ◽  
Georgia Kourlaba ◽  
John Kakisis ◽  
Mitiadis Matsagkas ◽  
George Giannakoulas ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document