TY - CHAP A1 - Birgit Eiermann A2 - Pia Bastholm Rahmner A3 - Seher Korkmaz A4 - Carina Landberg A5 - Birgitta Lilja A6 - Tero Shemeikka A7 - Aniko Veg A8 - Björn Wettermark A9 - Lars L Gustafsson ED1 - 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 - 2022-05-28 ER -