ICD9-based Text Mining Approach to Children Epilepsy Classification
Authors
Abstract
According with the World Health Organization, around 50 million people in theworld have epilepsy. After the diagnosis process, physicians classify epilepsy according to
the International Classification of Diseases, Ninth Revision (ICD-9). Often exams as
electroencephalograms and magnetic resonances are used to create a more accurate
diagnosis in a short amount of time. The classification process is time consuming and
demands the realization of complementary exams. To circumvent this laborious process ...
Journal
Procedia Technology, Vol. 9, pp. 1351-1360, December 2013Cited by
Year 2015 : 3 citations
Basar Oztaysi, Ceren Öner, Dilek H. Beyhan, Market Analysis Using Computational Intelligence: An Application for GSM Operators Based on Twitter Comments, Intelligent Techniques in Engineering Management, Volume 87 of the series Intelligent Systems Reference Library pp 483-501, 2015.
G. Nivedhitha , G. S. Anandha Mala, Enhanced Automatic Classification of Epilepsy Diagnosis Using ICD9 and SNOMED-CT, Proceedings of the International Conference on Soft Computing Systems, Volume 398 of the series Advances in Intelligent Systems and Computing pp 259-266, 2015.
Alicia Péreza, , Koldo Gojenolaa, , Arantza Casillasb, , , Maite Oronozc, , Arantza Díaz de Ilarrazac,Computer aided classification of diagnostic terms in spanish, Expert Systems with Applications, Elsevier, Volume 42, Issue 6, Pages 2949–2958, 2015.
Year 2014 : 1 citations
Pérez, A., Gojenola, K., Casillas, A., Oronoz, M., & de Ilarraza, A. D. (2014). Computer aided classification of diagnostic terms in spanish. Expert Systems with Applications.