An example-based mapping method for text categorization and retrieval
ACM Transactions on Information Systems (TOIS)
The nature of statistical learning theory
The nature of statistical learning theory
Information Retrieval
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Automatic language and information processing: rethinking evaluation
Natural Language Engineering
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
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Choosing a patient's reasons for staying in hospital amongst the 52, 000 pathology codes listed in the ICD-10 (International Classification of Diseases) requires that the practitioner spends a large amount of time keyboarding and searching, which may discourage him. However these codes are mandatory in many countries when the patient leaves the hospital, for biostatistical and administrative studies. The aim of the CIREA project is to propose an automatic ICD coding approach by mining textual medical reports. For that purpose we have proposed new algorithms such the EDA desuffixer, the CLO3 classification algorithm and the K-measure indicator.