Foundations of logic programming
Foundations of logic programming
An amateur's introduction to recursive query processing strategies
SIGMOD '86 Proceedings of the 1986 ACM SIGMOD international conference on Management of data
A framework for knowledge-based temporal abstraction
Artificial Intelligence
Informia: a mediator for integrated access to heterogeneous information sources
Proceedings of the seventh international conference on Information and knowledge management
Journal of Intelligent Information Systems - Special issue on integrating artificial intelligene and database technologies
Maintaining knowledge about temporal intervals
Communications of the ACM
Patterns of Enterprise Application Architecture
Patterns of Enterprise Application Architecture
The Conceptual Basis for Mediation Services
IEEE Expert: Intelligent Systems and Their Applications
Component-based mediation services for the integration of medical applications
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Temporal abstraction in intelligent clinical data analysis: A survey
Artificial Intelligence in Medicine
Journal of Biomedical Informatics
Journal of Biomedical Informatics
Journal of Biomedical Informatics
Incremental application of knowledge to continuously arriving time-oriented data
Journal of Intelligent Information Systems
Journal of Biomedical Informatics
Artificial Intelligence in Medicine
Journal of Biomedical Informatics
Intelligent visualization and exploration of time-oriented data of multiple patients
Artificial Intelligence in Medicine
Intelligent selection and retrieval of multiple time-oriented records
Journal of Intelligent Information Systems
A multidimensional temporal abstractive data mining framework
HIKM '10 Proceedings of the Fourth Australasian Workshop on Health Informatics and Knowledge Management - Volume 108
Probabilistic abstraction of uncertain temporal data for multiple subjects
SARA'05 Proceedings of the 6th international conference on Abstraction, Reformulation and Approximation
Probabilistic abstraction of multiple longitudinal electronic medical records
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
KR4HC'11 Proceedings of the 3rd international conference on Knowledge Representation for Health-Care
User-centered visual analysis using a hybrid reasoning architecture for intensive care units
Decision Support Systems
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
The ChronoMedIt temporal medical audit framework: progress and agenda
HIKM '11 Proceedings of the Fourth Australasian Workshop on Health Informatics and Knowledge Management - Volume 120
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Objective:: The specification and creation of a distributed system that integrates medical knowledge bases with time-oriented clinical databases; the goal is to answer complex temporal queries regarding both raw data and its abstractions, such as are often required in medical applications. Methods:: (1) Specification, design, and implementation of a generalized access method to a set of heterogeneous clinical data sources, by using a virtual medical-record interface and by mapping the local terms to a set of standardized medical vocabularies; (2) specification of a generalized interface to a set of knowledge sources; (3) specification and implementation of a service, called ALMA that computes complex time-oriented medical queries that include both raw data and abstractions derivable from it; (4) design and implementation of a mediator, called IDAN, that answers raw-data and abstract queries by integrating the appropriate clinical data with the relevant medical knowledge and uses the computation service to answer the queries; (5) an expressive language that enables definition of time-dependent medical queries, which are referred to the mediator; (6) evaluation of the effect of the system, when combined with a new visual interface, called KNAVE-II, on the speed and accuracy of answering a set of complex queries in an oncology sub domain, by a group of clinicians, compared to answering these queries using paper or an electronic spreadsheet. Results:: We have implemented the full IDAN architecture. The IDAN/KNAVE-II combination significantly increased the accuracy and speed of answering complex queries about both the data and their abstractions, compared to the standard tools. Conclusion:: The implemented architecture proves the feasibility of the distributed integration of medical knowledge sources with clinical data of heterogeneous sources. The results suggest that the proposed IDAN modular architecture has potential significance for supporting the automation of clinical tasks such as diagnosis, monitoring, therapy, and quality assessment.