• Big Data and Health Economics: Opportunities, Challenges and Risks 

      Bodas-Sagi, Diego; Labeaga, José (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      Big Data offers opportunities in many fields. Healthcare is not an exception. In this paper we summarize the possibilities of Big Data and Big Data technologies to offer useful information to policy makers. In a world with ...
    • Development of a Predictive Model for Induction Success of Labour 

      Pruenza, Cristina; Teurón, María; Lechuga, Luis; Díaz, Julia; González, Ana (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      Induction of the labour process is an extraordinarily common procedure used in some pregnancies. Obstetricians face the need to end a pregnancy, for medical reasons usually (maternal or fetal requirements) or less frequently, ...
    • EEG Signal Analysis of Writing and Typing between Adults with Dyslexia and Normal Controls 

      Perera, Perera, Harshani Harshani; Shiratuddin, Mohd Fairuz; Wong, Kok Wai; Fullarton, Kelly (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      EEG is one of the most useful techniques used to represent behaviours of the brain and helps explore valuable insights through the measurement of brain electrical activity. Hence, plays a vital role in detecting neurological ...
    • Machine-Learning-Based No Show Prediction in Outpatient Visits 

      Mochón, Francisco; Elvira, Carlos; Ochoa, Alberto; Gonzalvez, Juan Carlos (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      A recurring problem in healthcare is the high percentage of patients who miss their appointment, be it a consultation or a hospital test. The present study seeks patient’s behavioural patterns that allow predicting the ...
    • Proposing a Machine Learning Approach to Analyze and Predict Employment and its Factors 

      García-Peñalvo, Francisco; Cruz-Benito, Juan; Martín-González, Martín; Vázquez-Ingelmo, Andrea; Sánchez-Prieto, José Carlos; Therón, Roberto (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2018)
      This paper presents an original study with the aim of propose and test a machine learning approach to research about employability and employment. To understand how the graduates get employed, researchers propose to build ...
    • Revisiting “Recognizing Human Activities User- Independently on Smartphones Based on Accelerometer Data” – What Has Happened Since 2012? 

      Siirtola, Pekka; Röning, Juha (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      Our article “Recognizing human activities user-independently on smartphones based on accelerometer data” was published in the International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI) in 2012. ...
    • Savana: Re-using Electronic Health Records with Artificial Intelligence 

      Hernández Medrano, Ignacio; Tello Guijarro, Jorge; Belda, Cristóbal; Ureña, Alberto; Salcedo, Ignacio; Espinosa-Anke, Luis; Saggion, Horacio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      Health information grows exponentially (doubling every 5 years), thus generating a sort of inflation of science, i.e. the generation of more knowledge than we can leverage. In an unprecedented data-driven shift, today ...