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.
The goal of this research is to develop novel cluster analysis techniques to identify similarity between ICU time-series data. The results generated by cluster analysis are further used for ICU mortality prediction. To preprocess multi-granular ICU time-series, we proposed a segmentation-based method to divide time-series into several segments. The minimal and maximal values within each segment were...
There usually exit some reactive and redundant attributes in clustering objects. In order to improve the efficiency and veracity of clustering, we must delete those reactive and redundant attributes before clustering. A compound clustering algorithm is proposed in this paper. The algorithm first introduces fuzzy clustering to classify attributes, and then uses Fuzzy C-means (FCM) algorithm to partition...
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.