Title :
Multidimensional analysis for Traditional Chinese Medicine diagnosis and treatment on hepatitis diseases
Author :
Bi, Lanxin ; Zhou, Xuezhong ; Zhang, Lei ; Zhang, Runshun
Author_Institution :
Coll. of Comput. Sci. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
Abstract :
Traditional Chinese Medicine (TCM) has been widely used to treat various diseases like infectious diseases. Treatment Based on Syndrome Differentiation (TBSD) is the main principle in TCM clinical practice. So exploring the relationships between diagnoses and treatments from successful cases is important and valuable for better treating hepatitis diseases, which is a decision support problem based on data warehouse in nature. In this paper, using the multidimensional analysis techniques of BusinessObjects (BO) platform, we introduce a series of online analytical processing (OLAP) reports which cover different subjects of TCM on hepatitis diseases and a corresponding system used to manage the reports. It has been found that these OLAP reports are useful in experience sharing of making diagnoses and giving treatments on hepatitis diseases.
Keywords :
biomedical engineering; competitive intelligence; data mining; data warehouses; decision support systems; diseases; medical administrative data processing; medical computing; patient diagnosis; patient treatment; Business Objects platform; OLAP reports; TCM treatment; data warehouse; decision support problem; hepatitis diseases; infectious diseases; multidimensional analysis; online analytical processing reports; traditional Chinese medicine diagnosis; treatment based on syndrome differentiation; Business; Data mining; Data warehouses; Databases; Diseases; Liver; Medical diagnostic imaging; clinical decision support; hepatitis diseases; multidimensional analysis; online analytical processing; traditional Chinese medicine;
Conference_Titel :
e-Health Networking, Applications and Services (Healthcom), 2012 IEEE 14th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-2039-0
Electronic_ISBN :
978-1-4577-2038-3
DOI :
10.1109/HealthCom.2012.6380065
