Main description:

In a systematic and clear manner, the authors discuss the problems associated with clinical decision making and explore the current methods to solve them. In this monograph, they examine the results of combining the classical control system approach with the symbolic approaches which have been central to developments in artificial intelligence. Well illustrated with case studies, this volume will prove to be an invaluable resource to system scientists, engineers, computer scientists, and members of the medical community.

Contents:

Introduction. Systems and Control. Knowledge Representation and Manipulation. Analysis of the Therapeutic Process. Anatomy of Medical Knowledge. Methods for Computer Assisted Clinical Decisions. Methods for Medical Diagnosis. Planning Drug Therapy. Computers in Diabetes Management. Index.