Diagnosis of dementia and its pathologies using Bayesian belief networks

Julie Cowie; Lloyd Oteniya; Richard Coles

Diagnosis of dementia and its pathologies using Bayesian belief networks

Julie Cowie
, Lloyd Oteniya
, Richard Coles

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The use of artificial intelligence techniques in medical decision support systems is becoming more commonplace. By incorporating a method to represent expert knowledge, such systems can aid the user in aspects such as disease diagnosis and treatment planning. This paper reports on the first part of a project addressing the diagnosis of individuals with dementia. We discuss two systems: DerriNet and PathNet; developed to aid accurate diagnosis both of the presence of dementia, and the pathology of the disease.

Original language	English
Title of host publication	Proceedings of the Eighth International Conference on Enterprise Information Systems
Place of Publication	Setubal, Portugal
Publisher	Institute for Systems and Technologies of Information, Control and Communication
Pages	291-295
Number of pages	5
ISBN (Print)	9728865422
Publication status	Published - 2006
Event	8th International Conference on Enterprise Information Systems - Paphos, Cyprus Duration: 23 May 2006 → 27 May 2006 http://www.iceis.org/ICEIS2006/

Conference

Conference	8th International Conference on Enterprise Information Systems
Abbreviated title	ICEIS 2006
Country/Territory	Cyprus
City	Paphos
Period	23/05/06 → 27/05/06
Internet address	http://www.iceis.org/ICEIS2006/

Cite this

@inproceedings{57f8bcf9a7fc42fdb8b16af482773105,

title = "Diagnosis of dementia and its pathologies using Bayesian belief networks",

abstract = "The use of artificial intelligence techniques in medical decision support systems is becoming more commonplace. By incorporating a method to represent expert knowledge, such systems can aid the user in aspects such as disease diagnosis and treatment planning. This paper reports on the first part of a project addressing the diagnosis of individuals with dementia. We discuss two systems: DerriNet and PathNet; developed to aid accurate diagnosis both of the presence of dementia, and the pathology of the disease.",

author = "Julie Cowie and Lloyd Oteniya and Richard Coles",

year = "2006",

language = "English",

isbn = "9728865422",

pages = "291--295",

booktitle = "Proceedings of the Eighth International Conference on Enterprise Information Systems",

publisher = "Institute for Systems and Technologies of Information, Control and Communication",

note = "8th International Conference on Enterprise Information Systems , ICEIS 2006 ; Conference date: 23-05-2006 Through 27-05-2006",

url = "http://www.iceis.org/ICEIS2006/",

}

Cowie, J, Oteniya, L & Coles, R 2006, Diagnosis of dementia and its pathologies using Bayesian belief networks. in Proceedings of the Eighth International Conference on Enterprise Information Systems. Institute for Systems and Technologies of Information, Control and Communication, Setubal, Portugal, pp. 291-295, 8th International Conference on Enterprise Information Systems , Paphos, Cyprus, 23/05/06.

Diagnosis of dementia and its pathologies using Bayesian belief networks. / Cowie, Julie; Oteniya, Lloyd; Coles, Richard.
Proceedings of the Eighth International Conference on Enterprise Information Systems. Setubal, Portugal: Institute for Systems and Technologies of Information, Control and Communication, 2006. p. 291-295.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Diagnosis of dementia and its pathologies using Bayesian belief networks

AU - Cowie, Julie

AU - Oteniya, Lloyd

AU - Coles, Richard

PY - 2006

Y1 - 2006

N2 - The use of artificial intelligence techniques in medical decision support systems is becoming more commonplace. By incorporating a method to represent expert knowledge, such systems can aid the user in aspects such as disease diagnosis and treatment planning. This paper reports on the first part of a project addressing the diagnosis of individuals with dementia. We discuss two systems: DerriNet and PathNet; developed to aid accurate diagnosis both of the presence of dementia, and the pathology of the disease.

AB - The use of artificial intelligence techniques in medical decision support systems is becoming more commonplace. By incorporating a method to represent expert knowledge, such systems can aid the user in aspects such as disease diagnosis and treatment planning. This paper reports on the first part of a project addressing the diagnosis of individuals with dementia. We discuss two systems: DerriNet and PathNet; developed to aid accurate diagnosis both of the presence of dementia, and the pathology of the disease.

M3 - Conference contribution

SN - 9728865422

SP - 291

EP - 295

BT - Proceedings of the Eighth International Conference on Enterprise Information Systems

PB - Institute for Systems and Technologies of Information, Control and Communication

CY - Setubal, Portugal

T2 - 8th International Conference on Enterprise Information Systems

Y2 - 23 May 2006 through 27 May 2006

ER -

Diagnosis of dementia and its pathologies using Bayesian belief networks

Abstract

Conference

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Cite this