Now showing items 1-2 of 2

    • Big data analytics for obesity prediction 

      Bilal, Ahsan (Universitat Politècnica de Catalunya, 2018-04-26)
      Master thesis
      Open Access
      Covenantee:   Fundació Eurecat
      Feature selection is an important technique to find the most relevant features. Apache Spark is a big data processing framework but unable to cope with approx. 0.74 million features in our Obesity dataset. However, we ...
    • 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)
      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 ...