Towards a general theory of action and time
Artificial Intelligence
A theory of the origins of human knowledge
Artificial Intelligence
RE´SUME´: a temporal-abstraction system for patient monitoring
Computers and Biomedical Research - Papers presented at the 16th symposium on computer applications in medical care (SCAMC)
Retrieving Adaptable Cases: The Role of Adaptation Knowledge in Case Retrieval
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Therapy Planning Using Qualtitative Trend Descriptions
AIME '95 Proceedings of the 5th Conference on Artificial Intelligence in Medicine in Europe: Artificial Intelligence Medicine
Modelling Medical Concepts as Time-Objects
AIME '95 Proceedings of the 5th Conference on Artificial Intelligence in Medicine in Europe: Artificial Intelligence Medicine
Automated trend detection with alternate temporal hypotheses
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Influenza forecast: comparison of case-based reasoning and statistical methods
ISBMDA'05 Proceedings of the 6th International conference on Biological and Medical Data Analysis
| Hi-index | 0.00 |
In this paper, we describe an approach to utilize Case-Based Reasoning (CBR) methods for trend prognoses for medical problems. Since using conventional methods for reasoning over time does not fit for course predictions without medical knowledge of typical course pattern, we have developed abstraction methods suitable for integration into our Case-Based Reasoning system ICONS. These methods combine medical experience with prognoses of multiparametric courses. We apply them to the monitoring of the kidney function in an Intensive Care Unit (ICU) setting. We generate course-characteristic trend descriptions of the renal function over the course of time. Using Case-Based Reasoning retrieval methods, we search in the case base for courses similar to the, current trend descriptions. We present a current course together with similar courses as comparisons and as possible prognoses to the user.