Title :
New classifier for real time diagnosis
Author_Institution :
C&C Inf. Technol. Res. Labs., NEC Corp., Kawasaki, Japan
fDate :
Oct. 29 1992-Nov. 1 1992
Abstract :
This paper proposes a flexible diagnostic system, named mSDN (multiple Stochastic Diagnostic Net- work). The mSDN efficiently learns quantitative rules, and adapts to patient´s individuality. Furthermore, acquired rules by mSDN are comprehensible, that ensures safety. The mSDN applied to a real-time diagnostic system will improve ´quality of life´.
Keywords :
learning (artificial intelligence); patient diagnosis; stochastic processes; diagnosis classifier; flexible diagnostic system; mSDN; multiple stochastic diagnostic network; patient individuality; quantitative rule learning; real time diagnosis; Robustness;
Conference_Titel :
Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
Conference_Location :
Paris
Print_ISBN :
0-7803-0785-2
Electronic_ISBN :
0-7803-0816-6
DOI :
10.1109/IEMBS.1992.5761310
