DocumentCode
2363216
Title
SELDI-TOF-MS pattern analysis for cancer detection as a base for diagnostic software
Author
Radlak, M. ; Klempous, Ryszard
Author_Institution
Wroclaw Univ. of Technol., Wroclaw
fYear
2007
fDate
26-28 Sept. 2007
Firstpage
1
Lastpage
6
Abstract
Cancer is one of the twenty-first century disease affecting thousands of people around the globe every year. The biggest problem is that there is currently no non-invasive method for detection, while early detected can be cured avoiding death of a person. SELDI-TOF-MS can be used but resulting data are very noisy. Therefore methods for data preprocessing and classification are reviewed and their effectiveness measured. Finally requirements of diagnosis software are discussed.
Keywords
cancer; medical diagnostic computing; patient diagnosis; pattern classification; cancer detection; data classification; data preprocessing; diagnostic software; pattern analysis; Cancer detection; Chemical lasers; Chemical technology; Diseases; Ionization; Laser transitions; Mass spectroscopy; Pattern analysis; Proteins; Surface emitting lasers;
fLanguage
English
Publisher
ieee
Conference_Titel
AFRICON 2007
Conference_Location
Windhoek
Print_ISBN
978-1-4244-0987-7
Electronic_ISBN
978-1-4244-0987-7
Type
conf
DOI
10.1109/AFRCON.2007.4401485
Filename
4401485
Link To Document