Presentation
Advances in the Decision Making for Treatments of Chronic Patients Using Fuzzy Logic and Data Mining Techniques
Author/s | Domínguez Muñoz, Manuel
Aroba Páez, Javier González Enríquez, José Ramos Román, Isabel Lucena Soto, José Manuel Escalona Cuaresma, María José |
Department | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Publication Date | 2014 |
Deposit Date | 2017-05-02 |
Published in |
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ISBN/ISSN | 978-989-758-027-7 |
Abstract | Virological events in HIV-infected patients can rise with no apparent reason. Therefore, when they appear, immunologists or medical doctors do not know whether they will produce other future virological events or
they ... Virological events in HIV-infected patients can rise with no apparent reason. Therefore, when they appear, immunologists or medical doctors do not know whether they will produce other future virological events or they will entail relevant clinical consequences. This paper presents the results of applying Prefurge to HIV- infected patients’ clinical data, with the aim of obtaining rules and information about this set of clinical trials data that will relate these kinds of virological events. |
Funding agencies | Junta de Andalucía |
Project ID. | TIC-5789 |
Citation | Domínguez Muñoz, M., Aroba, J., González Enríquez, J., Ramos Román, I., Lucena Soto, J.M. y Escalona Cuaresma, M.J. (2014). Advances in the Decision Making for Treatments of Chronic Patients Using Fuzzy Logic and Data Mining Techniques. En ICEIS 2014: 16th International Conference on Enterprise Information Systems (325-330), Lisboa, Portugal: ScitePress Digital Library. |
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Advances in the Decision Making.pdf | 389.1Kb | [PDF] | View/ | |