About this paper

Appears in:
Pages: 2005-2013
Publication year: 2014
ISBN: 978-84-617-2484-0
ISSN: 2340-1095

Conference name: 7th International Conference of Education, Research and Innovation
Dates: 17-19 November, 2014
Location: Seville, Spain

THE EKM (ELEARNING KNOWLEDGE MANAGEMENT) TOOL FOR RADIOLOGY AND SENOLOGY

S. Demigha1, C. Balleyguier2

1University of Paris 1 Sorbonne (FRANCE)
2IGR Gustave Roussy Institute (Hospital) (FRANCE)
This paper presents the EKM (elearning Knowledge Management) tool dedicated for radiology and particularly in breast cancer domain (senology). The paper will provide all the functioning principles of the tool illustrated by examples of real cases on real patients from the department of radiology of Gustave Roussy Institute (Villejuif). The EKM tool is based on the case-based reasoning (CBR) approach which consists of comparing the new problem to be diagnosed to other diagnoses already treated and validated by experts. We have developed in previous ‘research papers’ methodologies, techniques and tools necessary to develop the tool. The implementation is now completely achieved. We illustrate here the modules developed and their usability and functioning. We illustrate them by images and videos from the empirical study in senology and also with some examples in radiology. We will demonstrate that the tool is very generic and could be used in other fields of radiology or medicine. We have used recent techniques and languages based on recent technologies.
@InProceedings{DEMIGHA2014EKM,
author = {Demigha, S. and Balleyguier, C.},
title = {THE EKM (ELEARNING KNOWLEDGE MANAGEMENT) TOOL FOR RADIOLOGY AND SENOLOGY},
series = {7th International Conference of Education, Research and Innovation},
booktitle = {ICERI2014 Proceedings},
isbn = {978-84-617-2484-0},
issn = {2340-1095},
publisher = {IATED},
location = {Seville, Spain},
month = {17-19 November, 2014},
year = {2014},
pages = {2005-2013}}
TY - CONF
AU - S. Demigha AU - C. Balleyguier
TI - THE EKM (ELEARNING KNOWLEDGE MANAGEMENT) TOOL FOR RADIOLOGY AND SENOLOGY
SN - 978-84-617-2484-0/2340-1095
PY - 2014
Y1 - 17-19 November, 2014
CI - Seville, Spain
JO - 7th International Conference of Education, Research and Innovation
JA - ICERI2014 Proceedings
SP - 2005
EP - 2013
ER -
S. Demigha, C. Balleyguier (2014) THE EKM (ELEARNING KNOWLEDGE MANAGEMENT) TOOL FOR RADIOLOGY AND SENOLOGY, ICERI2014 Proceedings, pp. 2005-2013.
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