TY  - CHAP
AU  - Birgit Eiermann
AU  - Pia Bastholm Rahmner
AU  - Seher Korkmaz
AU  - Carina Landberg
AU  - Birgitta Lilja
AU  - Tero Shemeikka
AU  - Aniko Veg
AU  - Björn Wettermark
AU  - Lars L Gustafsson
ED  - Chiang S. Jao
Y1  - 2010-01-01
PY  - 2010
T1  - Knowledge Bases for Clinical Decision Support in Drug Prescribing – Development, Quality Assurance, Management, Integration, Implementation and Evaluation of Clinical Value
N2  - Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications. DSS architecture contains three key components: knowledge base, computerized model, and user interface. DSS simulate cognitive decision-making functions of humans based on artificial intelligence methodologies (including expert systems, data mining, machine learning, connectionism, logistical reasoning, etc.) in order to perform decision support functions. The applications of DSS cover many domains, ranging from aviation monitoring, transportation safety, clinical diagnosis, weather forecast, business management to internet search strategy. By combining knowledge bases with inference rules, DSS are able to provide suggestions to end users to improve decisions and outcomes. This book is written as a textbook so that it can be used in formal courses examining decision support systems. It may be used by both undergraduate and graduate students from diverse computer-related fields. It will also be of value to established professionals as a text for self-study or for reference.
BT  - Decision Support Systems
SP  - Ch. 9
UR  - https://doi.org/10.5772/39458
DO  - 10.5772/39458
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-25
ER  -