Publicaciones y Recursos

Bibliografía relacionada



    1. Agrawal, Rakesh, Tomasz Imielinski, and Arun Swami. Mining association rules between sets of items in large databases. Acm sigmod record. Vol. 22. No. 2. ACM, 1993.

    2. Antony B. Holmes, Alexander Hawson, Feng Liu, Carol Friedman, Hossein Khiabanian, and Raul Rabadan. Discovering disease associations by integrating electronic clinical data and medical literature. PloS one, 6(6):e21132+, 2011.

    3. Duque, A., Martinez-Romo, J., Araujo, L.: Extracción no supervisada de relaciones entre medicamentos y efectos adversos. Procesamiento del Lenguaje Natural 55: 83-90 (2015).

    4. Andrés Duque Fernandez, Juan Martinez-Romo, Lourdes Araujo: Can multilinguality improve Biomedical Word Sense Disambiguation? Journal of Biomedical Informatics 64: 320-332 (2016)

    5. Martinez-Romo, J., Araujo, J., Borge-Holthoefer, J., Arenas, A., Capitán, J.A. y Cuesta, J.A. 2011. Disentangling categorical relationships through a graph of co-occurrences. Phys. Rev. E, 84:046108.

    6. Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781.

    7. Rashid, Mahmood A., Md Tamjidul Hoque, and Abdul Sattar. "Association rules mining based clinical observations." arXiv preprint arXiv:1401.2571 (2014).

    8. Sánchez-de-Madariaga R, Muñoz A, Cáceres J, et al. ccML, a new markup language to improve ISO/EN 13606-based Electronic Health Record extracts practical edition. J Am Med Inform Assoc. 2013; 20:298-304.

    9. Sánchez-de-Madariaga, R., Fernández-del-Castillo, J.R. 2009. The bootstrapping of the Yarowsky algorithm in real corpora. Information Processing & Management 45 2009 55-69.

    10. Stilou, S., Bamidis, P. D., Maglaveras, N., & Pappas, C. (2001). Mining association rules from clinical databases: an intelligent diagnostic process in healthcare. Studies in health technology and informatics, (2), 1399-1403.

    11. Wu, Y., Xu, J., Zhang, Y., & Xu, H. (2015). Clinical abbreviation disambiguation using neural word embeddings. ACL-IJCNLP 2015, 171.