Predicting HIV Infection Risk Factor Using VCT Data | Application of Data Mining In Health sector

Girma Aweke

ISBN 10: 365992718X / ISBN 13: 9783659927188

Published by LAP LAMBERT Academic Publishing, 2016

About this Item

Predicting HIV Infection Risk Factor Using VCT Data | Application of Data Mining In Health sector | Girma Aweke | Taschenbuch | 172 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659927188 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 103458829

Bibliographic Details

• Title: Predicting HIV Infection Risk Factor Using VCT Data | Application of Data Mining In Health sector
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2016
• Language: English
• ISBN 10: 365992718X
• ISBN 13: 9783659927188
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 11D millimeters 220 millimeters width by 150 millimeters height by 11 millimeters depth
• Weight: 274 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Despite a great deal of efforts, the world still has neither a cure nor a vaccine for HIV/AIDS infection. Millions of people have been suffering from this incurable disease. Fortunately, researchers have become successful in prolonging and improving the quality of life of those infected with HIV. Nonetheless, it has become increasingly clear that preventing the transmission and the acquisition of HIV through educating people to bring about behavioral changes should be the focus. The widely and freely available voluntary counseling and testing center (VCT) in Addis Ababa which provides an enormous role in counseling, promoting and checking clients HIV status through the clinical laboratory test. In line with this, the center has been collecting client’s information or records for further investigation with confidentiality. The record consists of many attribute that may have a direct or indirect impact with HIV infection. Moreover, identifying HIV infection risk factors or determinate variables provides benefits at different level of the society (such as individual, community and organizational level).

About the Author

Girma Awekeis a Professional Librarian and Lecturer in Addis Ababa University.He earned his Master’s in Information Science from Addis Ababa University in 2012. He has worked as lecturer and Senior System Librarian. His research interests are Information system, Data mining,knowledge-based systems,Digitization,Library,Institutional Repository