DocumentCode :
2307978
Title :
The application of the associative memory model in the blood tests
Author :
Han, Ping ; Qi, Qinglei
Author_Institution :
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
570
Lastpage :
572
Abstract :
For finding some diseases (such as the leukemia) in time and avoiding missed diagnosis in the traditional way, this paper presents the application of the associative memory model in the blood tests. We use blood test instruments to do blood routine examination on body at first, then extract the eigenvectors based on the clinical significance and the range of every parameter, and finally send it to the associative memory model.
Keywords :
Hopfield neural nets; blood; content-addressable storage; diseases; medical computing; associative memory model; blood routine examination; blood tests; eigenvector extraction; leukemia; Application software; Artificial neural networks; Associative memory; Biological neural networks; Blood; Diseases; Medical diagnostic imaging; Neural networks; Recurrent neural networks; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-3616-3
Electronic_ISBN :
978-1-4244-2511-2
Type :
conf
DOI :
10.1109/ITME.2008.4743929
Filename :
4743929
Link To Document :
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