Towards a general theory of action and time
Artificial Intelligence
Artificial Intelligence
The temporal query language TQuel
ACM Transactions on Database Systems (TODS)
Maintaining knowledge about temporal intervals
Communications of the ACM
Vm: representing time-dependent relations in a medical setting
Vm: representing time-dependent relations in a medical setting
ONCOCIN: an expert system for oncology protocol management
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
A temporal reasoning framework used in the diagnosis of skeletal dysplasias
Artificial Intelligence in Medicine
Temporal abstraction in intelligent clinical data analysis: A survey
Artificial Intelligence in Medicine
Journal of Biomedical Informatics
Precedence Temporal Networks to represent temporal relationships in gene expression data
Journal of Biomedical Informatics
Knowledge and intelligent computing system in medicine
Computers in Biology and Medicine
Temporal data mining for the quality assessment of hemodialysis services
Artificial Intelligence in Medicine
Modelling diagnostic skills in the domain of skeletal dysplasias
Computer Methods and Programs in Biomedicine
A knowledge-based scheduling system for Emergency Departments
Knowledge-Based Systems
European research efforts in medical knowledge-based systems
Artificial Intelligence in Medicine
Finding temporal patterns - A set-based approach
Artificial Intelligence in Medicine
Intelligent analysis of clinical time series: an application in the diabetes mellitus domain
Artificial Intelligence in Medicine
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A computer-based assistant for monitoring a patient's clinical course requires the use of tools able to handle temporal issues. Thus, methodologies coming from two historically distinct worlds need to be combined: the traditional world of Data Base Management Systems (DBMS) and the world of Knowledge-Based Systems (KBS). This paper describes an intelligent system designed to assist the clinical staff in the management of a monitoring protocol for infections in heart transplant recipients. The system consists of a DBMS designed for the management of patient clinical data and of a KBS which is capable of reasoning about the large amount of data and embodied in a temporal model based on time-points and intervals. Moreover, the system aims at providing a synthetic view of a patient's clinical history and some diagnostic and therapeutic suggestions. The KBS retrieves findings stored in the data base and creates a complex taxonomy of objects representing a Temporal Network of important events and episodes noted in the patient history; then, from this temporal representation, it develops its reasoning based on medical knowledge represented using frames and production rules. The system is implemented on a Fourth Generation System tool (4GS) and a KBS shell, both running on an IBM PC AT compatible platform.