The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Adverse drug events (ADEs) are grossly under-reported in electronic health records (EHRs). This could be mitigated by methods that are able to detect ADEs in EHRs, thereby allowing for missing ADE-specific diagnosis codes to be identified and added. A crucial aspect of constructing such systems is to find proper representations of the data in order to allow the predictive modeling to be as accurate...
Electronic health records (EHRs) provide a potentially valuable source of information for pharmacovigilance. However, adverse drug events (ADEs), which can be encoded in EHRs with specific diagnosis codes, are heavily under-reported. To provide more accurate estimates for drug safety surveillance, machine learning systems that are able to detect ADEs could be used to identify and suggest missing ADE-specific...
In this paper, we present a N200 model for control of a humanoid robot with mind. N200 is a major component of the motion visual evoked potential (mVEP) which can be used to detect the subject's intention. In order to acquire N200, we design a visual stimulus interface in which the activation of a stimulus is a bar scanning above the image of a humanoid robot behavior. By analyzing brain signals induced...
This paper presents a P300 model for controlling a humanoid robot with mind, including an off-line phase with a fixed trial number for training the model and an on-line phase with an adaptive strategy for generating commands to the humanoid robot. Our control scheme includes a procedure of acquiring P300 signals, topographical distribution analysis of P300 signals, and a classification approach to...
Feature selection is to select an informative subset from original feature set aiming at reducing the dimension of the feature space and enhancing the performance of the classifier. It is a crucial problem of pattern recognition and has attracted much attention in recent years. In this paper, we have proposed a multi-population univariate marginal distribution algorithm using random population to...
Feature selection is an effective data preprocessing step to reduce the dimension of feature space and save storage space. Binary particle swarm optimization (BPSO) has been applied successfully to solve feature selection problem. But it was easy to fall into local optimal point. M2BPSO was an improved BPSO algorithm. The particles of M2BPSO were updated by using various evolutionary strategies according...
Using both qualitative and quantitative analysis, a set of relatively integrated evaluation indexes was developed to analyze the urban planning process in Guanzhong urban agglomeration. Key impact factors of coordinated development obtained from literature analysis were used as input, and the degree of coordinated development during 1988~2008 calculated by principal component analysis and the coordinated...
Efficient and reliable map-matching algorithms were essential for vehicle navigation systems. Most existing solutions can't provide trustworthy outputs when the situation was ambiguous (such as at road intersections). Put forward to map matching according to pseudo-Zernike moments. The new Algorithm leads, pseudo-Zernike moments to describe track curve into pseudo-Zernike moments on this foundation...
City scientific and technological progress level classification and promotion play a central role in spurring city income growth and reducing poverty. Based on the Chinese city data availability, this paper built evaluation index system on the level of city scientific and technological progress. According to the city scientific and technological progress data which is large scale and imbalance, this...
Innovation system efficiency analysis and prediction play an important role in regional innovation systems development and improve benefit of innovative capacity for country. According to the county innovation system data which is large scale and imbalance, this paper presented a support vector machine model to predict county innovation system efficiency. The method was compared with artificial neural...
Customer churn analysis and prediction play an important role in customer relationship management and improve benefit of enterprise. According to the bank's customer churn data which is large scale and imbalance, this paper presented a support vector machine model to predict customer churn. The method was compared with artificial neural network, decision tree, logistic regression and naive Bayesian...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.