Child cancer follow-up ontology and information system

J.A. El-Subaihi; François Anton; Darka Mioc; S.V. Andersen; B. Lausen

doi:10.2495/DATA130121

Child cancer follow-up ontology and information system

J.A. El-Subaihi, François Anton, Darka Mioc, S.V. Andersen, B. Lausen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

An increase in chronic diseases in Danish healthcare can be explained by the corresponding increase of population longevity. Health professionals will not be able to keep up with treating those diseases, due to the many existing and new cases of chronic diseases. This results in mistakes in treatment processes, compensations to patients due to medical negligence and duplication of work and effort. In order to address a solution for healthcare practitioners, a small subgroup of patients and diseases is chosen from all chronic diseases. Namely, children diagnosed with cancer. This research brings the methodology for child cancer treatment plan that produces an ontology to create a conceptual model and a database model. To construct the ontology, the "methontology" method is used as a structured approach for the ontology process. The method guides the ontology developer from scratch to building a complete model. The ontology is developed in two phases. In the first phase, research from other countries and process models are reviewed and the generic model is built from this research. The generic model is adapted to the ontology for the Danish hospitals including the NOPHO-ALL 2008 protocol. To develop the ontology, a data dictionary is first proposed. Then, the relationships between concepts are identified and verified: the oriented graph, where nodes are concepts and oriented edges are dependence relationships, where the definition of the concept at the origin of the edge depends on the concept at the destination of the edge, must be a directed acyclic graph. Finally, the ontology resulting from the previous steps is implemented in Protégé-OWL. The conceptual model follows directly and univocally from the ontology: an entity-relationship diagram in UML notation. © 2013 WIT Press.

Original language	English
Title of host publication	Data Management and Security : Applications in Medicine, Science and Engineering
Editors	A. Rabase, C. A. Brebbia, A. Bia
Number of pages	12
Publisher	WIT Press
Publication date	2013
ISBN (Print)	978-1-84564-708-7
ISBN (Electronic)	978-1-84564-709-4
DOIs	https://doi.org/10.2495/DATA130121
Publication status	Published - 2013
Event	1st International Conference on Data Management and Security: Applications in Medicine, Sciences and Engineering - Elche, Spain Duration: 7 May 2013 → 9 May 2013 Conference number: 1

Conference

Conference	1st International Conference on Data Management and Security
Number	1
Country/Territory	Spain
City	Elche
Period	07/05/2013 → 09/05/2013

Series	WIT Transactions on Information and Communication Technologies
Volume	45

Keywords

Directed graphs
Information management
Information systems
Ontology
Patient treatment
Research
Diseases

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.2495/DATA130121

OpenUrl availability

Full text

Cite this

@inproceedings{be5078a2867c4897a0a60ef25345e737,

title = "Child cancer follow-up ontology and information system",

abstract = "An increase in chronic diseases in Danish healthcare can be explained by the corresponding increase of population longevity. Health professionals will not be able to keep up with treating those diseases, due to the many existing and new cases of chronic diseases. This results in mistakes in treatment processes, compensations to patients due to medical negligence and duplication of work and effort. In order to address a solution for healthcare practitioners, a small subgroup of patients and diseases is chosen from all chronic diseases. Namely, children diagnosed with cancer. This research brings the methodology for child cancer treatment plan that produces an ontology to create a conceptual model and a database model. To construct the ontology, the {"}methontology{"} method is used as a structured approach for the ontology process. The method guides the ontology developer from scratch to building a complete model. The ontology is developed in two phases. In the first phase, research from other countries and process models are reviewed and the generic model is built from this research. The generic model is adapted to the ontology for the Danish hospitals including the NOPHO-ALL 2008 protocol. To develop the ontology, a data dictionary is first proposed. Then, the relationships between concepts are identified and verified: the oriented graph, where nodes are concepts and oriented edges are dependence relationships, where the definition of the concept at the origin of the edge depends on the concept at the destination of the edge, must be a directed acyclic graph. Finally, the ontology resulting from the previous steps is implemented in Prot{\'e}g{\'e}-OWL. The conceptual model follows directly and univocally from the ontology: an entity-relationship diagram in UML notation. {\textcopyright} 2013 WIT Press.",

keywords = "Directed graphs, Information management, Information systems, Ontology, Patient treatment, Research, Diseases",

author = "J.A. El-Subaihi and Fran{\c c}ois Anton and Darka Mioc and S.V. Andersen and B. Lausen",

year = "2013",

doi = "10.2495/DATA130121",

language = "English",

isbn = "978-1-84564-708-7",

series = "WIT Transactions on Information and Communication Technologies",

editor = "A. Rabase and Brebbia, {C. A.} and A. Bia",

booktitle = "Data Management and Security",

publisher = "WIT Press",

note = "1st International Conference on Data Management and Security : Applications in Medicine, Sciences and Engineering ; Conference date: 07-05-2013 Through 09-05-2013",

}

El-Subaihi, JA, Anton, F, Mioc, D, Andersen, SV & Lausen, B 2013, Child cancer follow-up ontology and information system. in A Rabase, CA Brebbia & A Bia (eds), Data Management and Security : Applications in Medicine, Science and Engineering. WIT Press, WIT Transactions on Information and Communication Technologies, vol. 45, 1st International Conference on Data Management and Security, Elche, Spain, 07/05/2013. https://doi.org/10.2495/DATA130121

Child cancer follow-up ontology and information system. / El-Subaihi, J.A.; Anton, François; Mioc, Darka et al.
Data Management and Security : Applications in Medicine, Science and Engineering. ed. / A. Rabase; C. A. Brebbia; A. Bia. WIT Press, 2013. (WIT Transactions on Information and Communication Technologies, Vol. 45).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Child cancer follow-up ontology and information system

AU - El-Subaihi, J.A.

AU - Anton, François

AU - Mioc, Darka

AU - Andersen, S.V.

AU - Lausen, B.

N1 - Conference code: 1

PY - 2013

Y1 - 2013

N2 - An increase in chronic diseases in Danish healthcare can be explained by the corresponding increase of population longevity. Health professionals will not be able to keep up with treating those diseases, due to the many existing and new cases of chronic diseases. This results in mistakes in treatment processes, compensations to patients due to medical negligence and duplication of work and effort. In order to address a solution for healthcare practitioners, a small subgroup of patients and diseases is chosen from all chronic diseases. Namely, children diagnosed with cancer. This research brings the methodology for child cancer treatment plan that produces an ontology to create a conceptual model and a database model. To construct the ontology, the "methontology" method is used as a structured approach for the ontology process. The method guides the ontology developer from scratch to building a complete model. The ontology is developed in two phases. In the first phase, research from other countries and process models are reviewed and the generic model is built from this research. The generic model is adapted to the ontology for the Danish hospitals including the NOPHO-ALL 2008 protocol. To develop the ontology, a data dictionary is first proposed. Then, the relationships between concepts are identified and verified: the oriented graph, where nodes are concepts and oriented edges are dependence relationships, where the definition of the concept at the origin of the edge depends on the concept at the destination of the edge, must be a directed acyclic graph. Finally, the ontology resulting from the previous steps is implemented in Protégé-OWL. The conceptual model follows directly and univocally from the ontology: an entity-relationship diagram in UML notation. © 2013 WIT Press.

AB - An increase in chronic diseases in Danish healthcare can be explained by the corresponding increase of population longevity. Health professionals will not be able to keep up with treating those diseases, due to the many existing and new cases of chronic diseases. This results in mistakes in treatment processes, compensations to patients due to medical negligence and duplication of work and effort. In order to address a solution for healthcare practitioners, a small subgroup of patients and diseases is chosen from all chronic diseases. Namely, children diagnosed with cancer. This research brings the methodology for child cancer treatment plan that produces an ontology to create a conceptual model and a database model. To construct the ontology, the "methontology" method is used as a structured approach for the ontology process. The method guides the ontology developer from scratch to building a complete model. The ontology is developed in two phases. In the first phase, research from other countries and process models are reviewed and the generic model is built from this research. The generic model is adapted to the ontology for the Danish hospitals including the NOPHO-ALL 2008 protocol. To develop the ontology, a data dictionary is first proposed. Then, the relationships between concepts are identified and verified: the oriented graph, where nodes are concepts and oriented edges are dependence relationships, where the definition of the concept at the origin of the edge depends on the concept at the destination of the edge, must be a directed acyclic graph. Finally, the ontology resulting from the previous steps is implemented in Protégé-OWL. The conceptual model follows directly and univocally from the ontology: an entity-relationship diagram in UML notation. © 2013 WIT Press.

KW - Directed graphs

KW - Information management

KW - Information systems

KW - Ontology

KW - Patient treatment

KW - Research

KW - Diseases

U2 - 10.2495/DATA130121

DO - 10.2495/DATA130121

M3 - Article in proceedings

SN - 978-1-84564-708-7

T3 - WIT Transactions on Information and Communication Technologies

BT - Data Management and Security

A2 - Rabase, A.

A2 - Brebbia, C. A.

A2 - Bia, A.

PB - WIT Press

T2 - 1st International Conference on Data Management and Security

Y2 - 7 May 2013 through 9 May 2013

ER -

Child cancer follow-up ontology and information system

Abstract

Conference

Keywords

UN SDGs

Access to Document

OpenUrl availability

Fingerprint

Cite this