Performance Evaluation of Intelligent Management Functionality for Emergency Medical Applications

2011 ◽  
Author(s):  
Marios Logothetis ◽  
George Dimitrakopoulos
Keyword(s):  
Performance Evaluation ◽  
Medical Applications ◽  
Emergency Medical ◽  
Intelligent Management

scholarly journals Use Of Medical Applications By Students During Emergency Medical Training

2020 ◽  
Vol 27 (4) ◽  
pp. 415-420
Author(s):  
Mustafa Yilmaz ◽  
Mehmet Çağrı Göktekin
Keyword(s):  
Medical Training ◽  
Medical Applications ◽  
Emergency Medical

scholarly journals Efficient Anonymization Algorithm for Multiple Sensitive Attributes

2019 ◽  
Vol 9 (1) ◽  
pp. 4961-4963
Keyword(s):  
Data Mining ◽  
Performance Evaluation ◽  
Information Loss ◽  
The Internet ◽  
Medical Applications ◽  
Huge Number ◽  
Sensitive Data ◽  
Privacy Preserving Data Mining ◽  
Privacy Model ◽  
Mining Methods

The data of medical applications over the internet contains sensitive data. There exist several methods that provide privacy for these data. Most of the privacy-preserving data mining methods make the assumption of the separation of quasi-identifiers (QID) from multiple sensitive attributes. But in reality, the attributes in a dataset possess both the features of QIDs and sensitive data. In this paper privacy model namely (vi…vj)-diversity is proposed. The proposed anonymization algorithm works for databases containing numerous sensitive QIDs. The real dataset is used for performance evaluation. Our system reduced the information loss for even huge number of attributes and the values of sensitive QID’s are protected.

Life performance evaluation of electron beam-curable polyurethane pressure-sensitive adhesive tape for medical applications

2014 ◽  
Vol 28 (12) ◽  
pp. 1192-1206 ◽  
Author(s):  
Anil Kumar Singh ◽  
Dayal Singh Mehra ◽  
Utpal Kumar Niyogi ◽  
Sunil Sabharwal ◽  
Gurdeep Singh
Keyword(s):  
Electron Beam ◽  
Performance Evaluation ◽  
Medical Applications ◽  
Adhesive Tape ◽  
Pressure Sensitive Adhesive ◽  
Pressure Sensitive
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