Title :
Classification Based on a Novel Distance Method
Author :
Wang, Zhuo ; Nie, Bin ; Xu, Jianfeng ; Hu, Ran
Author_Institution :
Software Sch., Nanchang Univ., Nanchang, China
Abstract :
In order to classify the disease from the clinical database, according to the characteristic of disease in rough relational databases, a method to classify the disease was put forward. Firstly, to collect the disease symptom model information table from the clinical database; secondly, symptom typical characterizing using accuracy; thirdly, classify the disease based on a novel rough distance. The method was proved to be feasible and effective after tested with a database.
Keywords :
diseases; medical information systems; pattern classification; relational databases; rough set theory; disease classification; disease symptom model; novel distance method; rough relational databases; Accuracy; Classification algorithms; Databases; Diabetes; Diseases; Medical diagnostic imaging; Rough sets; classification; hamming distance; inclusive; rough;
Conference_Titel :
Information Technology and Applications (IFITA), 2010 International Forum on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-7621-3
Electronic_ISBN :
978-1-4244-7622-0
DOI :
10.1109/IFITA.2010.195
