Conference Paper

A Fuzzy Approach to Temporal Model-Based Diagnosis for Intensive Care Units.

Conference: Proceedings of the 16th Eureopean Conference on Artificial Intelligence, ECAI'2004, including Prestigious Applicants of Intelligent Systems, PAIS 2004, Valencia, Spain, August 22-27, 2004
Source: DBLP
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    ABSTRACT: The aim of this project (MEDICI: Inpatient/Outpatient Monitoring for Diagnosis and Medical Research in Ischaemic Cardiopathy: Tools for Acquisition, Visualization, Integra- tion and Knowledge Discovery) is the design, development and implementation of a set of tools for inpatient and outpatient monitoring of patient sufiering Ischaemic Cardiopathy. These tools will provide support for both medical care and clinical research tasks. The work is organized around three development lines: a) Subsystems for data collection in difierent scenarios, including clinical history data, monitored electric and hemodynamic signals and data related to remotely monitored signals outside the hospital. b) Techni- ques for integrating the collected information and presenting it as a unique virtual clinical history associated to the patient; and c) tools for the extraction and validation of medical knowledge.
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    01/2010: chapter Providing case-based retrieval as a decision support strategy in time dependent medical domains: pages 211-228; Springer.
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    ABSTRACT: CBR systems designers and developers' research can benefit from the availability of existing platforms, able to provide software design and implementation assistance. The JColibri platform, realized and maintained by the University of Madrid, is one of the most well known among such tools. In this work, we describe a couple of extensions we have provided to the core JColibri open source software. In particular, our extensions are meant to optimize case retrieval performances, in data-rich applications. Specifically, we focused our attention on treating (i) large case bases, in which retrieval time may become unacceptable, and (ii) cases with high-dimensional features - namely time series features - on which proper case representation and retrieval solutions need to be studied. The implemented code has been preliminarly tested, and it is now ready to be integrated with the JColibri code, and made available to the CBR research community. Additional extensions, always dealing with retrieval optimization, are foreseen as our future work.
    Tools with Artificial Intelligence, IEEE International Conference on. 01/2009;

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