An Active Distributed Medical Advisory System

Kim Le

An Active Distributed Medical Advisory System

Kim Le

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

Abstract

For the last few decades, medical practitioners and specialists have been waiting for efficient medical advisory systems. Most of current computer-aided diagnosis systems are rather passive. Health data, a rich source of medical knowledge, often have not been used efficiently for medical treatment as well as financial management. Their accesses are very limited. This paper introduces the design of a well-structured medical advisory system based on the advanced Internet. The system is also equipped with data mining and AI techniques to make it becoming an active distributed medical advisory system

Original language	English
Title of host publication	SEPADS'08 Proceedings of the 7th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems
Editors	Leonid Kazovsky, Pierre Borne, Nikos Mastorakis, Angel Kuri-Morales, Ioannis Sakellaris
Place of Publication	United Kingdom
Publisher	Association for Computing Machinery (ACM)
Pages	32-37
Number of pages	6
Volume	1
ISBN (Print)	9789606766428
Publication status	Published - 2008
Event	International Conference on Software Engineering, Parallel and Distributed Systems - Cambridge, United Kingdom Duration: 20 Feb 2008 → 22 Feb 2008

Conference

Conference	International Conference on Software Engineering, Parallel and Distributed Systems
Country/Territory	United Kingdom
City	Cambridge
Period	20/02/08 → 22/02/08

Cite this

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title = "An Active Distributed Medical Advisory System",

abstract = "For the last few decades, medical practitioners and specialists have been waiting for efficient medical advisory systems. Most of current computer-aided diagnosis systems are rather passive. Health data, a rich source of medical knowledge, often have not been used efficiently for medical treatment as well as financial management. Their accesses are very limited. This paper introduces the design of a well-structured medical advisory system based on the advanced Internet. The system is also equipped with data mining and AI techniques to make it becoming an active distributed medical advisory system",

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publisher = "Association for Computing Machinery (ACM)",

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Le, K 2008, An Active Distributed Medical Advisory System. in L Kazovsky, P Borne, N Mastorakis, A Kuri-Morales & I Sakellaris (eds), SEPADS'08 Proceedings of the 7th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems. vol. 1, Association for Computing Machinery (ACM), United Kingdom, pp. 32-37, International Conference on Software Engineering, Parallel and Distributed Systems, Cambridge, United Kingdom, 20/02/08.

An Active Distributed Medical Advisory System. / Le, Kim.
SEPADS'08 Proceedings of the 7th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems. ed. / Leonid Kazovsky; Pierre Borne; Nikos Mastorakis; Angel Kuri-Morales; Ioannis Sakellaris. Vol. 1 United Kingdom: Association for Computing Machinery (ACM), 2008. p. 32-37.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - An Active Distributed Medical Advisory System

AU - Le, Kim

PY - 2008

Y1 - 2008

N2 - For the last few decades, medical practitioners and specialists have been waiting for efficient medical advisory systems. Most of current computer-aided diagnosis systems are rather passive. Health data, a rich source of medical knowledge, often have not been used efficiently for medical treatment as well as financial management. Their accesses are very limited. This paper introduces the design of a well-structured medical advisory system based on the advanced Internet. The system is also equipped with data mining and AI techniques to make it becoming an active distributed medical advisory system

AB - For the last few decades, medical practitioners and specialists have been waiting for efficient medical advisory systems. Most of current computer-aided diagnosis systems are rather passive. Health data, a rich source of medical knowledge, often have not been used efficiently for medical treatment as well as financial management. Their accesses are very limited. This paper introduces the design of a well-structured medical advisory system based on the advanced Internet. The system is also equipped with data mining and AI techniques to make it becoming an active distributed medical advisory system

M3 - Conference contribution

SN - 9789606766428

VL - 1

SP - 32

EP - 37

BT - SEPADS'08 Proceedings of the 7th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems

A2 - Kazovsky, Leonid

A2 - Borne, Pierre

A2 - Mastorakis, Nikos

A2 - Kuri-Morales, Angel

A2 - Sakellaris, Ioannis

PB - Association for Computing Machinery (ACM)

CY - United Kingdom

T2 - International Conference on Software Engineering, Parallel and Distributed Systems

Y2 - 20 February 2008 through 22 February 2008

ER -

An Active Distributed Medical Advisory System

Abstract

Conference

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