Paper Info
Title
Towards an automatic harmonization of the representation of medical reports to assess their similarities.
Abstract
Numerous hospitals contain unexploited knowledge deposits. These often take the form of unstructured records with heterogeneous content, which, at various levels of those organizations, register past cases. Those records are for instance patient medical records. Accessing the knowledge and experience they gather would help us to handle present cases. We present here a method to normalize textual reports in foetopathology in order to constitute a proper case base that will be the target of case-based reasoning techniques. Statistics of noise and silence generated by this method on 10 cases are presented.
Year
DOI
Venue
2014
10.3233/978-1-61499-432-9-858
Studies in Health Technology and Informatics
Keywords
Field
DocType
Information extraction,information representation normalization,natural language processing,domain ontologies
Data science,Data mining,Harmonization,Computer science,Knowledge management
Conference
Volume
ISSN
Citations 
205
0926-9630
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Yves Parès100.34
xavier aime202.37
Jean Charlet315034.29
Marie-Christine Jaulent437568.72