Few studies of breast cancer surgery outcomes have used longitudinal data for more than five years. To validate the use of artificial neural network (ANN) models in predicting 5-year mortality for breast cancer surger...
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ISBN:
(纸本)9781479942145
Few studies of breast cancer surgery outcomes have used longitudinal data for more than five years. To validate the use of artificial neural network (ANN) models in predicting 5-year mortality for breast cancer surgery patients and to compare predictive accuracy between an ANN model and a multiple logistic regression (MLR) model. This study compared the performance of ANN and MLR models based on retrospective clinical data of 3,632 breast cancer surgery patients treated during 1996-2010. Global sensitivity score and analysis approach were also employed to assess the relative importance of variables and the relative significance of input parameters in the system model. In the training, testing, and validation groups of breast cancer surgery patients, the ANN model significantly outperformed the MLR model in terms of specificity, sensitivity, negative predictive value (NPV), positive predictive value (PPV), accuracy, and area under the receiver operating characteristic curves. Surgeon volume was the most influential variable affecting 5-year mortality followed by hospital volume, age, and Charlson co-morbidity index (CCI) score. The ANN model achieved higher overall performance indices and was more accurate in predicting 5-year mortality, compared with the conventional MLR model.
In this paper, we propose a Remote control of a domestic equipment from an Android application based on Raspberry pi card. Home automation has been recalled in the first stage. In the second stage an application has b...
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In this paper, we propose a Remote control of a domestic equipment from an Android application based on Raspberry pi card. Home automation has been recalled in the first stage. In the second stage an application has been developed based on the android system. The different diagrams have been presented. Different codes have been developed to allow the communication between the remote user, the web server, the raspberry pi card and the home components. Also an interface card has been developed to assure the communication between the home components and raspberry pi card. The application has been installed on a Smartphone, a web server and a raspberry pi card to order the shutter of windows. The experimental results are successful.
This paper describes the ongoing work of detecting falls in independent living senior apartments. We have developed a fall detection system with Doppler radar sensor and implemented ceiling radar in real senior apartm...
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This paper describes the ongoing work of detecting falls in independent living senior apartments. We have developed a fall detection system with Doppler radar sensor and implemented ceiling radar in real senior apartments. However, the detection accuracy on real world data is affected by false alarms inherent in the real living environment, such as motions from visitors. To solve this issue, this paper proposes an improved framework by fusing the Doppler radar sensor result with a motion sensor network. As a result, performance is significantly improved after the data fusion by discarding the false alarms generated by visitors. The improvement of this new method is tested on one week of continuous data from an actual elderly person who frequently falls while living in her senior home.
Ring-based WDM-PONs can employ a single dedicated wavelength channel to interconnect the Optical Network Units (ONUs) thus providing a means for inter-ONU communication and downstream wavelength sharing. In this paper...
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ISBN:
(纸本)9781479956029
Ring-based WDM-PONs can employ a single dedicated wavelength channel to interconnect the Optical Network Units (ONUs) thus providing a means for inter-ONU communication and downstream wavelength sharing. In this paper, a new TDM dynamic bandwidth allocation (DBA) algorithm for inter-ONU communication is proposed, which takes into account the destination of the ONUs on the ring. The main purpose of this 'Destination-Aware' (DestAware) algorithm is to improve the network inter-ONU communication performance without any additional cost. Performance results show that by considering the destination of the ONUs during the bandwidth allocation process both line utilization and experienced delay are improved.
The inherent structure of a social network has a significant impact on its functioning and health. Understanding the topology can lead to better strategies to control the functioning of the network and enable rapid id...
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ISBN:
(纸本)9781479923601
The inherent structure of a social network has a significant impact on its functioning and health. Understanding the topology can lead to better strategies to control the functioning of the network and enable rapid identification and prevention of risks such as fragmentation and spread of infection. This paper focuses on modeling and analyzing the structure of the social network associated with voice and SMS communication in a large community in Asia. It studies the topological characteristics of networks and develops a generative model for them. Based on the typical small world characteristics, large scale test systems can be developed to better study the working of new algorithms for cell-phone networks.
This paper addresses the problem of flood detection from the cloud-contaminated MODIS time-series data. Although MODIS data can provide almost daily coverage over the large area with the medium resolution. The use of ...
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This paper addresses the problem of flood detection from the cloud-contaminated MODIS time-series data. Although MODIS data can provide almost daily coverage over the large area with the medium resolution. The use of MODIS data for flood mapping in the tropical regions is a challenging task due to the cloud contamination. Since the floods usually occur in the connected regions over a certain period of time, we employed the Markov random field model to characterize this property. For our experiments, the classification accuracy of flooded and non-flooded areas can be significantly increased by incorporating the MRF model.
Vehicular networks will play an important role in future smart cities. Connected vehicles will be able to provide entertainment content to their users in order to make traffic situations more enjoyable. However, the a...
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Vehicular networks will play an important role in future smart cities. Connected vehicles will be able to provide entertainment content to their users in order to make traffic situations more enjoyable. However, the amount of bandwidth available to the vehicles may not be enough to satisfy all of them. In this case, we can say that a conflict of interest occurred and then must the solved as fair as possible. In this work, we propose a solution to solve this kind of collective conflict. Our solution balances users' satisfaction with resources consumption as it is capable of choosing the most adequate resolution algorithm based on the current application's situation. The results showed that with our solution it was possible to achieve adequate satisfaction levels, with low response time and controlled network usage.
Parameterized probabilistic complex computational (P 2 C 2 ) models are being increasingly used in computational systems biology for analyzing biological systems. A key challenge is to build mechanistic P 2 C 2 model...
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Parameterized probabilistic complex computational (P 2 C 2 ) models are being increasingly used in computational systems biology for analyzing biological systems. A key challenge is to build mechanistic P 2 C 2 models by combining prior knowledge and empirical data, given that certain system properties are unknown. These unknown components are incorporated into a model as parameters and determining their values has traditionally been a process of trial and error. We present a new algorithmic procedure for discovering parameters in agent-based models of biological systems against behavioral specifications mined from large data-sets. Our approach uses Bayesian model checking, sequential hypothesis testing, and stochastic optimization to synthesize parameters of P 2 C 2 models. We demonstrate our algorithm by discovering the amount and schedule of doses of bacterial lipopolysaccharide in a clinical agent-based model of the dynamics of acute inflammation that guarantee a set of desired clinical outcomes with high probability.
In this study, a method is proposed to detect orange fruits on tree using image processing techniques in order to develop software for an auto-orange collector robot system. Fruit detection based on computer vision in...
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ISBN:
(纸本)9781479908684
In this study, a method is proposed to detect orange fruits on tree using image processing techniques in order to develop software for an auto-orange collector robot system. Fruit detection based on computer vision includes some problems. The main problem is variable lighting conditions for the environment in outdoor. The additional problem is the occlusion of fruits by leaves, branches, and the other fruits. In the proposed method these problems are also examined.
We present a federation model to support the dynamic federation of resources and autonomic management mechanisms that coordinate multiple workflows to use resources based on objectives. We illustrate the effectiveness...
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