Back
  1. Home
  3. Detailled Reference
Request a copy
Article (Scientific journals)
Towards Explainable Knowledge-Guided Data Mining for Medical Diagnosis Aid: Application to Children Mental Disorders
Itani, Sarah
2020 • In 4OR: A Quarterly Journal of Operations Research
Peer Reviewed verified by ORBi
Permalink
https://hdl.handle.net/20.500.12907/27846
DOI
10.1007/s10288-020-00438-x
 

Files (1)Send toDetailsStatisticsBibliographySimilar publications

Files

Full Text
Itani2020_-_PhD_Thesis_abstract.pdf
Publisher postprint (113.06 kB)
Request a copy

All documents in ORBi UMONS are protected by a user license.

Send to


Details


Research center :
CIPSE - Centre de recherche interdisciplinaire en Psychophysiologie et Electrophysiologie de la cognition
Disciplines :
Computer science
Electrical & electronics engineering
Laboratory medicine & medical technology
Mathematics
Library & information sciences
Author, co-author :
Itani, Sarah  ;  Université de Mons > Faculté Polytechnique > Mathématique et Recherche opérationnelle
Language :
English
Title :
Towards Explainable Knowledge-Guided Data Mining for Medical Diagnosis Aid: Application to Children Mental Disorders
Publication date :
15 April 2020
Journal title :
4OR: A Quarterly Journal of Operations Research
ISSN :
1619-4500
Publisher :
Springer, Berlin, Germany
Peer reviewed :
Peer Reviewed verified by ORBi
Research unit :
F113 - Management de l'Innovation Technologique
F151 - Mathématique et Recherche opérationnelle
Research institute :
R300 - Institut de Recherche en Technologies de l'Information et Sciences de l'Informatique
R550 - Institut des Sciences et Technologies de la Santé
Name of the research project :
TEDDI - Fédération Wallonie Bruxelles
Available on ORBi UMONS :
since 16 April 2020

Statistics

Number of views
1 (1 by UMONS)
Number of downloads
0 (0 by UMONS)
More statistics
OpenCitations
 
1

Bibliography

Similar publications


Contact ORBi UMONS