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 the study is to evaluate the predictive role of body weight in the emergence and management of chronic low back pain (CLBP). The relationship between obesity-low back pain (LBP) and the phenomenon of degeneration of the lumbar disc (LDD) is not well known. Several factors such as family history, genetics and the environment can all contribute to LBP. Giving the high incidence of obesity...
A fuzzy medical diagnostic decision system for helping support to evaluate patients with anginal chest pain and obesity clinical condition is proposed in this paper. Such an approach is based on the Braunwald symptomatic classification, the fuzzy set theory and fuzzy logic, and a risk obesity factor determined by a simplified Fuzzy Body Mass Index (FBMI). The fuzzy Braunwald symptomatic classification...
Privacy-maintaining data release is one of the most important challenges in an information system, because of the wide collection of sensitive information on the internet. A number of solutions have been designed for privacy-maintaining data release. This paper provides an inspection of the state-of-the-art methods for privacy protection. The paper discusses novel and powerful privacy definitions...
Health care provision is facing resourcing challenges which will further increase in the 21st century. Health care mediated by technology is widely seen as one important element in the struggle to maintain existing standards of care. Personal health monitoring and treatment systems with a high degree of autonomic operation will be required to support self-care. Such systems must provide many services...
K-anonymization essentially is some update operations over the original dataset. So, to guarantee the integrity of the dataset, it's necessary to preserve the functional dependencies (FDs) in k-anonymization. We present several approaches to maintain FDs in k-anonymization. One is detecting FDs violation constantly while k-anonymizing, which can be merged to numerous previous k-anonymized algorithms...
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.