Now showing items 1-4 of 4

    • Autoencoders for health improvement by compressing the set of patient features 

      Cabrera-Bean, Margarita; Pereira Dos Santos, Víctor Jerri; Roso Llorach, Albert; Fernández Bertolín, Sergio; Vidal Manzano, José; Violán Fors, Concepción (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference lecture
      Restricted access - publisher's policy
      A challenge to solve when analyzing multimorbidity patterns in elderly people is the management of a high number of characteristics associated with each patient. The main variables to study multimorbidity are diseases, ...
    • Five-year trajectories of multimorbidity patterns in an elderly Mediterranean population using Hidden Markov Models 

      Violán Fors, Concepción; Fernández Bertolín, Sergio; Guisado Clavero, Marina; Foguet Boreu, Quintí; Valderas, José Maria; Vidal Manzano, José; Roso Llorach, Albert; Cabrera-Bean, Margarita (Nature, 2020-12)
      Open Access
      This study aimed to analyse the trajectories and mortality of multimorbidity patterns in patients aged 65 to 99 years in Catalonia (Spain). Five year (2012–2016) data of 916,619 participants from a primary care, population-based ...
    • Machine learning aplicat a prediccions durant la nit electoral 

      Fernández Bertolín, Sergio (Universitat Politècnica de Catalunya, 2016-10)
      Master thesis (pre-Bologna period)
      Open Access
      The current project explores electoral data from Spanish national elections from 2000 to 2011. Using these, it is developed and tested an algorithm to predict election results with a small error. The analysed prediction ...
    • Soft clustering using real-world data for the identification of multimorbidity patterns in an elderly population: Cross-sectional study in a Mediterranean population 

      Violán Fors, Concepción; Foguet Boreu, Quintí; Fernández Bertolín, Sergio; Guisado Clavero, Marina; Cabrera-Bean, Margarita; Formiga, Francesc; Valderas, José Maria; Roso Llorach, Albert (2019-08-01)
      Open Access
      The aim of this study was to identify, with soft clustering methods, multimorbidity patterns in the electronic health records of a population =65 years, and to analyse such patterns in accordance with the different prevalence ...