Now showing items 1-3 of 3

    • Big data analytics for obesity prediction 

      Bilal, Hasan; Vellido Alcacena, Alfredo; Ribas Ripoll, Vicent (IOS Press, 2018)
      Part of book or chapter of book
      Open Access
      Feature selection (FS) is essential for the analysis of genomic datasets with millions of features. In such context, Big Data tools are paramount, but the use of standard machine learning models is limited for data with ...
    • Enabling interpretation of the outcome of a human obesity prediction machine learning analysis from genomic data 

      Bilal, Ahsan; Vellido Alcacena, Alfredo; Ribas Ripoll, Vicent (2018)
      External research report
      Open Access
      In this brief paper, we address the medical problem of human obesity prediction from genomic data. Genomic datasets may contain a huge number of features and they often have to be analyzed within the realm of Big Data ...
    • Teràpies multimèdia per tractar infants obesos? 

      Perez del Pozo, M. Luisa (2008-02)
      Audiovisual
      Open Access
      Els videojocs no serveixen només per fer passar una bona estona als més petits. A la Politècnica hem ideat jocs multimèdia per ajudar-los a superar problemes tan greus com l’obesitat.