• 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 ...
    • 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, ...
    • Generating Big Data Sets from Knowledge-based Decision Support Systems to Pursue Value-based Healthcare 

      González-Ferrer, Arturo; Seara, Germán; Cháfer, Joan; Mayol, Julio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      Talking about Big Data in healthcare we usually refer to how to use data collected from current electronic medical records, either structured or unstructured, to answer clinically relevant questions. This operation is ...
    • DataCare: Big Data Analytics Solution for Intelligent Healthcare Management 

      Saez, Yago; Baldominos Gómez, Alejandro; Rada, Fernando (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      This paper presents DataCare, a solution for intelligent healthcare management. This product is able not only to retrieve and aggregate data from different key performance indicators in healthcare centers, but also to ...
    • 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 ...
    • Development of Injuries Prevention Policies in Mexico: A Big Data Approach 

      Cantón Croda, Rosa María; Gibaja Romero, Damián Emilio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      Considering that Mexican injuries prevention strategies have been focused on injuries caused by car accidents and gender violence, a whole analysis of the injuries registered are performed in this paper to have a wider ...
    • Big Data and Public Health Systems: Issues and Opportunities 

      Rojas, David; Carnicero, Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      Over the last years, the need for changing the current model of European public health systems has been repeatedly addressed, in order to ensure their sustainability. Following this line, IT has always been referred to as ...
    • 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 ...
    • IJIMAI Editor's Note - Vol. 4 Issue 7 

      Mochón, Francisco; Elvira, Carlos (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      The International Journal of Interactive Multimedia and Artificial Intelligence - IJIMAI (ISSN 1989 - 1660) provides an interdisciplinary forum in which scientists and professionals can share their research results and ...