MEDADVIS: A Medical Advisory System

Kim Le; Dharmendra Sharma

MEDADVIS: A Medical Advisory System

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

Abstract

An advisory system has always been a central need for medical practitioners and specialists for the last few decades. Most of current medical retrieval systems are based on passive databases. Actually, the data stored in any information storage system is a rich source of knowledge, which needs appropriate techniques to discover. This paper introduces the design of a well-structured knowledge-base system that holds patient medical records. The proposed system will be equipped with data mining and AI techniques such as statistics, neural network, fuzzy logic, generic algorithm, etc., so that it becomes an active distributed medical advisory system.

Original language	English
Title of host publication	Knowledge-Based Intelligent Information and Engineering Systems Proceedings, Part II
Editors	Khosla, Howlett, Jain.
Place of Publication	Germany
Publisher	Springer
Pages	789-795
Number of pages	7
ISBN (Print)	9783540288954
Publication status	Published - 2005
Event	9th International Conference KES 2005 (Knowledge-Based Intelligent Information and Engineering Systems) - Melbourne, Australia Duration: 14 Sept 2005 → 16 Sept 2005

Conference

Conference	9th International Conference KES 2005 (Knowledge-Based Intelligent Information and Engineering Systems)
Country/Territory	Australia
City	Melbourne
Period	14/09/05 → 16/09/05

Cite this

@inproceedings{6385d5cae27346b9ae5760be55586412,

title = "MEDADVIS: A Medical Advisory System",

abstract = "An advisory system has always been a central need for medical practitioners and specialists for the last few decades. Most of current medical retrieval systems are based on passive databases. Actually, the data stored in any information storage system is a rich source of knowledge, which needs appropriate techniques to discover. This paper introduces the design of a well-structured knowledge-base system that holds patient medical records. The proposed system will be equipped with data mining and AI techniques such as statistics, neural network, fuzzy logic, generic algorithm, etc., so that it becomes an active distributed medical advisory system.",

author = "Kim Le and Dharmendra Sharma",

year = "2005",

language = "English",

isbn = "9783540288954",

pages = "789--795",

editor = "Khosla and Howlett and Jain.",

booktitle = "Knowledge-Based Intelligent Information and Engineering Systems Proceedings, Part II",

publisher = "Springer",

address = "Netherlands",

note = "9th International Conference KES 2005 (Knowledge-Based Intelligent Information and Engineering Systems) ; Conference date: 14-09-2005 Through 16-09-2005",

}

TY - GEN

T1 - MEDADVIS: A Medical Advisory System

AU - Le, Kim

AU - Sharma, Dharmendra

PY - 2005

Y1 - 2005

N2 - An advisory system has always been a central need for medical practitioners and specialists for the last few decades. Most of current medical retrieval systems are based on passive databases. Actually, the data stored in any information storage system is a rich source of knowledge, which needs appropriate techniques to discover. This paper introduces the design of a well-structured knowledge-base system that holds patient medical records. The proposed system will be equipped with data mining and AI techniques such as statistics, neural network, fuzzy logic, generic algorithm, etc., so that it becomes an active distributed medical advisory system.

AB - An advisory system has always been a central need for medical practitioners and specialists for the last few decades. Most of current medical retrieval systems are based on passive databases. Actually, the data stored in any information storage system is a rich source of knowledge, which needs appropriate techniques to discover. This paper introduces the design of a well-structured knowledge-base system that holds patient medical records. The proposed system will be equipped with data mining and AI techniques such as statistics, neural network, fuzzy logic, generic algorithm, etc., so that it becomes an active distributed medical advisory system.

M3 - Conference contribution

SN - 9783540288954

SP - 789

EP - 795

BT - Knowledge-Based Intelligent Information and Engineering Systems Proceedings, Part II

A2 - Khosla, null

A2 - Howlett, null

A2 - Jain., null

PB - Springer

CY - Germany

T2 - 9th International Conference KES 2005 (Knowledge-Based Intelligent Information and Engineering Systems)

Y2 - 14 September 2005 through 16 September 2005

ER -

MEDADVIS: A Medical Advisory System

Abstract

Conference

Fingerprint

Cite this