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The use of text mining methods to value a biostatistic work with a medical study on menopause

Bertrand Malet 1, * Pierre Pompidor 2, * Michel Sala 2, * Sophie Bouvet 3
* Corresponding author
2 TATOO - Fouille de données environnementales
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : This paper is related to the text mining field, which can help classical biostatistics methods. Although a lot of text mining studies that have been made on the medical field were related to the molecular biology, less of them are based on clinical papers. The main objective here is to define an information correlation between free texts and classical statistical data. This project thus combines text mining techniques and the calculation and analysis methods from the biostatistics field.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00329568
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Submitted on : Friday, October 24, 2008 - 9:12:34 AM
Last modification on : Friday, June 12, 2020 - 4:58:20 PM
Long-term archiving on: : Tuesday, September 21, 2010 - 5:37:21 PM

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Bertrand Malet, Pierre Pompidor, Michel Sala, Sophie Bouvet. The use of text mining methods to value a biostatistic work with a medical study on menopause. E-Medisys'08: 2nd International Conference on E-Medical Systems, Oct 2008, Sfax, Tunisie. pp.N/A. ⟨lirmm-00329568v2⟩

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