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.
A continuous approach to chaotic modeling developed by the authors has been used to produce second-order difference plots representing the rate of change of the heart rate variability obtained from 24-hour Holter tapes. A plot with low variability will have points clustered around the origin. As a means of quantifying these results, we developed a central tendency measure (CTM) which provides a...
A connectionist expert system derived from a neural network model is used to establish a model for prognostic factors in congestive heart failure (CHF). The learning algorithm was developed by the authors and utilizes a non-statistical approach to supervised learning. The algorithm generates a non-linear decision surface which divides cases into two or more categories. The method has been applied...
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.