Title :
Core Prescription Recommending System Based on Integrated Reasoning
Author :
Ping, Ding ; Liu, Lieli
Author_Institution :
Sch. of Econ. & Manage., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Abstract :
Recently, medical accidents, triggered by prescribing error events, have been the pivot of society concern. Recommending reasonable prescriptions by applying the technique of the computer and artificial intelligence is significant. According to the normal process of diagnosis, a prescription recommending system which applies integrated reasoning method based on RBR and CBR is put forward for recommending. The working theory, system architecture, and reasoning process have been analyzed. Some critical technology has been researched deeply. The designed system is in accordance with the actual process of prescription, and can prevent doctors from making unreasonable prescriptions.
Keywords :
artificial intelligence; case-based reasoning; medical diagnostic computing; CBR; RBR; artificial intelligence; core prescription recommending system; integrated reasoning; medical accidents; reasoning process; system architecture; unreasonable prescriptions; Accidents; Conference management; Diseases; Drugs; Hospitals; Humans; Information technology; Medical diagnostic imaging; Partial response channels; Technology management; CBR; Core Prescription; RBR; Recommending System;
Conference_Titel :
Computer Sciences and Convergence Information Technology, 2009. ICCIT '09. Fourth International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5244-6
Electronic_ISBN :
978-0-7695-3896-9
DOI :
10.1109/ICCIT.2009.201