Diagnosis of dementia and its pathologies using Bayesian belief networks

Julie Cowie; Lloyd Oteniya; Richard Coles

doi:10.5220/0002441802910295

Diagnosis of dementia and its pathologies using Bayesian belief networks

Julie Cowie^*, Lloyd Oteniya, Richard Coles

^*Corresponding author for this work

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

3 Citations (Scopus)

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: DemNet 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
Editors	Yannis Manolopoulos, Joaquim Filipe, Panos Constantopoulos, José Cordeiro
Pages	291-295
Number of pages	5
Volume	1
DOIs	https://doi.org/10.5220/0002441802910295
Publication status	Published - 2006
Externally published	Yes
Event	8th International Conference on Enterprise Information Systems - Paphos, Cyprus Duration: 23 May 2006 → 27 May 2006 https://iceis.scitevents.org/iceis2006/ (Link to conference website)

Publication series

Name	ICEIS 2006 - 8th International Conference on Enterprise Information Systems, Proceedings
Volume	1
ISSN (Print)	2184-4992

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	https://iceis.scitevents.org/iceis2006/ (Link to conference website)

Keywords

Bayesian belief networks
dementia diagnosis

ASJC Scopus subject areas

Artificial Intelligence
Human-Computer Interaction
Information Systems
Software

Access to Document

10.5220/0002441802910295

Cite this

Cowie, J., Oteniya, L., & Coles, R. (2006). Diagnosis of dementia and its pathologies using Bayesian belief networks. In Y. Manolopoulos, J. Filipe, P. Constantopoulos, & J. Cordeiro (Eds.), Proceedings of the Eighth International Conference on Enterprise Information Systems (Vol. 1, pp. 291-295). (ICEIS 2006 - 8th International Conference on Enterprise Information Systems, Proceedings; Vol. 1). https://doi.org/10.5220/0002441802910295

Cowie, Julie ; Oteniya, Lloyd ; Coles, Richard. / Diagnosis of dementia and its pathologies using Bayesian belief networks. Proceedings of the Eighth International Conference on Enterprise Information Systems. editor / Yannis Manolopoulos ; Joaquim Filipe ; Panos Constantopoulos ; José Cordeiro. Vol. 1 2006. pp. 291-295 (ICEIS 2006 - 8th International Conference on Enterprise Information Systems, Proceedings).

@inproceedings{44bac11ae72b41669d4fffa4bf04bc9a,

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: DemNet and PathNet; developed to aid accurate diagnosis both of the presence of dementia, and the pathology of the disease.",

keywords = "Bayesian belief networks, dementia diagnosis",

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

year = "2006",

doi = "10.5220/0002441802910295",

language = "English",

isbn = "9789728865429",

volume = "1",

series = "ICEIS 2006 - 8th International Conference on Enterprise Information Systems, Proceedings",

pages = "291--295",

editor = "Manolopoulos, { Yannis} and Filipe, {Joaquim } and Constantopoulos, {Panos } and Jos{\'e} Cordeiro",

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

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

url = "https://iceis.scitevents.org/iceis2006/",

}

Cowie, J, Oteniya, L & Coles, R 2006, Diagnosis of dementia and its pathologies using Bayesian belief networks. in Y Manolopoulos, J Filipe, P Constantopoulos & J Cordeiro (eds), Proceedings of the Eighth International Conference on Enterprise Information Systems. vol. 1, ICEIS 2006 - 8th International Conference on Enterprise Information Systems, Proceedings, vol. 1, pp. 291-295, 8th International Conference on Enterprise Information Systems, Paphos, Cyprus, 23/05/06. https://doi.org/10.5220/0002441802910295

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. ed. / Yannis Manolopoulos; Joaquim Filipe; Panos Constantopoulos; José Cordeiro. Vol. 1 2006. p. 291-295 (ICEIS 2006 - 8th International Conference on Enterprise Information Systems, Proceedings; Vol. 1).

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: DemNet 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: DemNet and PathNet; developed to aid accurate diagnosis both of the presence of dementia, and the pathology of the disease.

KW - Bayesian belief networks

KW - dementia diagnosis

U2 - 10.5220/0002441802910295

DO - 10.5220/0002441802910295

M3 - Conference contribution

AN - SCOPUS:77953876928

SN - 9789728865429

VL - 1

T3 - ICEIS 2006 - 8th International Conference on Enterprise Information Systems, Proceedings

SP - 291

EP - 295

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

A2 - Manolopoulos, Yannis

A2 - Filipe, Joaquim

A2 - Constantopoulos, Panos

A2 - Cordeiro, José

T2 - 8th International Conference on Enterprise Information Systems

Y2 - 23 May 2006 through 27 May 2006

ER -

Cowie J, Oteniya L, Coles R. Diagnosis of dementia and its pathologies using Bayesian belief networks. In Manolopoulos Y, Filipe J, Constantopoulos P, Cordeiro J, editors, Proceedings of the Eighth International Conference on Enterprise Information Systems. Vol. 1. 2006. p. 291-295. (ICEIS 2006 - 8th International Conference on Enterprise Information Systems, Proceedings). doi: 10.5220/0002441802910295

Diagnosis of dementia and its pathologies using Bayesian belief networks

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this