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by Giordano Lanzola, Giordano Lanzola, Sabina Falasconi, Sabina Falasconi, Mario Stefanelli, Mario Stefanelli
ftp://aim.unipv.it/pub/papers/lanzola/maamaw96.ps.gz
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Abstract:
Abstract. Managing patients is a knowledge intensive activity requiring a high interoperability among the health care professionals involved. To support cooperative work in medical care, computer technology should therefore either augment the capabilities of individual specialists and enhance their ability of interacting with each other and with computational resources. However, despite the efforts spent in the Artificial Intelligence research field in the past years for developing innovative tools, there are still very few cases of systems which are proficiently used on a routinary basis for providing health care related services. One way to overcome those limitations is to redesign the set of software tools in order that they be more appropriated for an interoperable environment, and perhaps the most promising approach nowadays is based on the so called distributed computing paradigm applied to Artificial Intelligence. In this paper we describe a methodology for implementing a network of cooperating software agents aimed at improving the health care delivery process. Moreover, we will also illustrate some examples from a set of tools we are developing for evaluating that methodology. Originality Statement We hereby certify that this paper contains original and unpublished work as emerged from the ongoing research activity carried on by us at the Laboratory of Medical Informatics of the University of Pavia. We attest that this work hasn't been submitted to any other Workshop or Conference, nor will we do so before any incoming notification from the MAAMAW 96 referee panel.
Citations
|
1452
|
A translation approach to portable ontology specifications
– Gruber
- 1993
|
|
397
|
Software agents
– Genesereth, Ketchpel
- 1994
|
|
262
|
Enabling Technology for Knowledge Sharing
– Neches, Fikes, et al.
- 1991
|
|
258
|
Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
– Jennings
- 1995
|
|
102
|
The Unified Medical Language System
– Lindberg, Humphreys, et al.
- 1993
|
|
101
|
Blackboard Systems: The Blackboard Model of Problem Solving and the Evolution of Blackboard Architectures
– Nii
- 1986
|
|
40
|
Cooperative problem-solving guided by intentions and perception
– Burmeister, Sundermeyer
- 1992
|
|
26
|
A terminology server for medical language and medical information systems
– Rector, Solomon, et al.
- 1995
|
|
20
|
An Epistemological Framework for Medical Knowledge-Based Systems
– Ramoni, Stefanelli, et al.
- 1992
|
|
15
|
The design of multi-agent systems
– Werner
- 1992
|
|
13
|
KADS: a modelling approach to knowledge engineering
– Breuker
- 1992
|
|
12
|
Modeling tasks with mechanisms
– Puerta, Tu, et al.
- 1993
|
|
11
|
A case study in ontology library construction
– Heijst, Falasconi, et al.
- 1995
|
|
8
|
A Library of Medical Ontologies
– Falasconi, Stefanelli
- 1994
|
|
8
|
An influence diagram for assessing gvhd prophylaxis after bone marrow transplantation in children
– Quaglini, Bellazzi, et al.
- 1994
|
|
6
|
A Specialized Framework for Medical Diagnostic Knowledge-Based Systems
– Lanzola, Stefanelli
- 1992
|
|
5
|
Foundations for a methodology for medical KBS development. Knowledge Acquisition
– Heijst, Lanzola, et al.
- 1994
|
|
4
|
Inferential knowledge acquisition
– Lanzola, Stefanelli
- 1993
|
|
3
|
Computational Model 3.0
– Lanzola, Stefanelli
- 1993
|
|
3
|
The Society of Mind, Simon and
– Minski
- 1985
|
|
2
|
Criteria for the acceptance of decision-support systems by clinicians� lessons from ecg interpretation system
– Bemmel
- 1988
|
|
1
|
GAMEES: a probailistic environment for expert systems
– Bellazzi, Quaglini, et al.
- 1991
|
|
1
|
The HELIOS Software Engineering Environment
– Engelmann, Jean, et al.
- 1994
|
