Title :
Bioinformatics data mining tool using data collected from red blood cells hemolysate
Author :
Rafea, Mahmoud ; Zaki, Heba ; Sultan, Torky
Author_Institution :
Central Lab. of Agric. Expert Syst. (CLAES), Giza, Egypt
Abstract :
The mathematical model described in this paper is based on a discovery of a phenomenon related to red blood cells. In this phenomenon, the hemolysate of red blood cells reacts with antibodies from the plasma of the same patient. Using proteomics approach to identify those hemolysate antigens and then build a database containing those antigens can help in diagnosis, prognosis, and treatment of disease disorders. In this paper, algorithms and a tool, based on the mathematical model and the database, are described. The tool is tested using hypothetically generated data and it achieved satisfying results as it detected the proposed diseases.
Keywords :
bioinformatics; blood; data mining; database management systems; patient diagnosis; patient treatment; proteomics; bioinformatics data mining tool; database; disease disorder diagnosis; disease disorder prognosis; disease disorder treatment; hemolysate antigens; mathematical model; proteomics approach; red blood cells hemolysate; Books; Diseases; Immune system; Proteins; Antigens; Bioinformatics; Data Mining Tool; Proteomics; Red Blood Cells;
Conference_Titel :
Computer Technology and Development (ICCTD), 2010 2nd International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-8844-5
Electronic_ISBN :
978-1-4244-8845-2
DOI :
10.1109/ICCTD.2010.5645850
