TY - GEN
T1 - KMSS
T2 - Proceedings of the 15th European Conference on Knowledge Management, ECKM 2014
AU - Demigha, Souad
AU - Balleyguier, Corinne
PY - 2014/1/1
Y1 - 2014/1/1
N2 - In this paper, we propose the design and development of a Knowledge Management System for Senology (breast cancer domain) called KMSS. It will include all information and knowledge derived from the patient records and imaging modalities such as mammography, echography, MRI (Magnetic Resonance Imaging), scanner and ultrasound. Knowledge management (KM) is the process of capturing, developing, sharing, and effectively using organizational knowledge. Before starting the development of the KMSS system, we have analyzed the users' needs using a requirement analysis methodology. We use the Unified Modeling Language (UML) to specify and express these requirements. It allows us to summarize all concepts and senologic knowledge. These concepts are formalized with various 'scenarios' and 'use cases'. This formalization in natural language may help senologist neophytes in computer science to understand both the analysis and design of the system. We have developed an ontology of the domain by standardizing senological concepts and constraints using the BI-RADS (Breast Imaging Reporting and Data System) Atlas. We have represented these concepts as cases according to the case-based reasoning (CBR) approach. The KMSS system will be implemented in the department of Radiology of Gustave Roussy Institute in Paris (France). It will be interfaced with other existing radiological systems such as HIS (Hospital Information System), RIS (Radiological Information System) and PACS (Picture Archiving and Communication System) and will be compliant with commercial systems for senology such as CAD (Computer-Aided Diagnosis), BI-RADS and DICOM (Digital Imaging and COmmunication in Medicine). Details concerning the design and development of the KMSS system will be described in the paper.
AB - In this paper, we propose the design and development of a Knowledge Management System for Senology (breast cancer domain) called KMSS. It will include all information and knowledge derived from the patient records and imaging modalities such as mammography, echography, MRI (Magnetic Resonance Imaging), scanner and ultrasound. Knowledge management (KM) is the process of capturing, developing, sharing, and effectively using organizational knowledge. Before starting the development of the KMSS system, we have analyzed the users' needs using a requirement analysis methodology. We use the Unified Modeling Language (UML) to specify and express these requirements. It allows us to summarize all concepts and senologic knowledge. These concepts are formalized with various 'scenarios' and 'use cases'. This formalization in natural language may help senologist neophytes in computer science to understand both the analysis and design of the system. We have developed an ontology of the domain by standardizing senological concepts and constraints using the BI-RADS (Breast Imaging Reporting and Data System) Atlas. We have represented these concepts as cases according to the case-based reasoning (CBR) approach. The KMSS system will be implemented in the department of Radiology of Gustave Roussy Institute in Paris (France). It will be interfaced with other existing radiological systems such as HIS (Hospital Information System), RIS (Radiological Information System) and PACS (Picture Archiving and Communication System) and will be compliant with commercial systems for senology such as CAD (Computer-Aided Diagnosis), BI-RADS and DICOM (Digital Imaging and COmmunication in Medicine). Details concerning the design and development of the KMSS system will be described in the paper.
KW - BI-RADS
KW - CBR
KW - Knowledge management system
KW - Ontology
KW - Senology
UR - http://www.scopus.com/inward/record.url?scp=84962840828&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84962840828
SN - 9781910309346
T3 - Proceedings of the European Conference on Knowledge Management, ECKM
SP - 268
EP - 277
BT - Proceedings of the 15th European Conference on Knowledge Management, ECKM 2014
A2 - Sequeira, Pedro
A2 - Sequeira, Pedro
A2 - Vivas, Carla
A2 - Vivas, Carla
PB - Academic Conferences Limited
Y2 - 4 September 2014 through 5 September 2014
ER -