Title: Artificial intelligence in medicine
Description: Artificial Intelligence in Medicine: Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM'99 Aalborg, Denmark, June 20–24, 1999 Proceedings<br />Author: Werner Horn, Yuval Shahar, Greger Lindberg, Steen Andreassen, Jeremy Wyatt<br /> Published by Springer Berlin Heidelberg<br /> ISBN: 978-3-540-66162-7<br /> DOI: 10.1007/3-540-48720-4<br /><br />Table of Contents:<p></p><ul><li>From Clinical Guidelines to Decision Support
</li><li>Artificial Intelligence for Building Learning Health Care Organizations
</li><li>Timing Is Everything: Temporal Reasoning and Temporal Data Maintenance in Medicine
</li><li>Machine Learning for Data Mining in Medicine
</li><li>Guidelines-Based Workflow Systems
</li><li>Enhancing Clinical Practice Guideline Compliance by Involving Physicians in the Decision Process
</li><li>Application of Therapeutic Protocols: A Tool to Manage Medical Knowledge
</li><li>From Description to Decision: Towards a Decision Support Training System for MR Radiology of the Brain
</li><li>Internet-Based Decision-Support Server for Acute Abdominal Pain
</li><li>Multi-modal Reasoning in Diabetic Patient Management
</li><li>Experiences with Case-Based Reasoning Methods and Prototypes for Medical Knowledge-Based Systems
</li><li>Exploting Social Reasoning of Open Multi-agent Systems to Enahnce Cooperation in Hospitals
</li><li>Influence Diagrams for Neonatal Jaundice Management
</li><li>Electronic Drug Prescribing and Administration - Bedside Medical Decision Making
</li><li>Neonatal Ventilation Tutor (VIE-NVT), a Teaching Program for the Mechanical Ventilation of Newborn Infants
</li><li>A Life-Cycle Based Authorisation Expert Database System
</li><li>A Decision-Support System for the Identification, Staging, and Functional Evaluation of Liver Diseases (HEPASCORE)
</li><li>A Model-Based Approach for Learning to Identify Cardiac Arrhythmias
</li><li>A Model-Based System for Pacemaker Reprogramming
</li><li>Integrating Deep Biomedical Models into Medical Decision Support Systems: An Interval Constraint Approach</li></ul>
Subjects: Medical applications, Congresses, Decision making, Data processing, Medicine, Artificial intelligence