Exploració per autor "Ribas Ripoll, Vicent"

Ara es mostren els items 1-12 de 12

    • A Quotient Basis Kernel for the prediction of mortality in severe sepsis patients 

      Ribas Ripoll, Vicent; Romero Merino, Enrique; Ruiz Rodríguez, Juan Carlos; Vellido Alcacena, Alfredo (2013)
      Text en actes de congrés
      Accés obert
      In this paper, we describe a novel kernel for multinomial distributions, namely the Quotient Basis Kernel (QBK), which is based on a suitable reparametrization of the input space through algebraic geometry and statistics. ...

    • Assessment of electrocardiograms with pretraining and shallow networks 

      Ribas Ripoll, Vicent; Wojdel, Anna; Ramos, Pablo; Romero Merino, Enrique; Brugada Terradellas, Josep (Computing in Cardiology, 2014)
      Text en actes de congrés
      Accés obert
      Objective: Clinical Decision Support Systems normally resort to annotated signals for the automatic assessment of ECG signals. In this paper we put forward a new method for the assessment of normal/abnormal heart function ...

    • Big data analytics for obesity prediction 

      Bilal, Hasan; Vellido Alcacena, Alfredo; Ribas Ripoll, Vicent (IOS Press, 2018)
      Capítol de llibre
      Accés obert
      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 ...

    • Blood pressure assessment with differential pulse transit time and deep learning: a proof of concept 

      Ribas Ripoll, Vicent; Vellido Alcacena, Alfredo (Karger, 2019-02)
      Article
      Accés obert
      Modern clinical environments are laden with technology devices continuously gathering physiological data from patients. This is especially true in critical care environments, where life-saving decisions may have to be made ...

    • ECG assessment based on neural networks with pretraining 

      Ribas Ripoll, Vicent; Wojdel, Anna; Romero Merino, Enrique; Ramos, Pablo; Brugada Terradellas, Josep (2016-12-01)
      Article
      Accés restringit per política de l'editorial
      In this paper, we present a new automatic screening method to assess whether a patient from ambulatory care or emergency should be referred to a cardiology service. This method is based on deep neural networks with pretraining ...

    • 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)
      Report de recerca
      Accés obert
      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 ...

    • Feature selection for the accurate prediction of septic and cardiogenic shock ICU mortality in the acute phase 

      Aushev, Alexander; Ribas Ripoll, Vicent; Vellido Alcacena, Alfredo; Aletti, Federico; Bollen Pinto, Bernardo; Herpain, Antoine; Hendrik Post, Emiel; Romay Medina, Eduardo; Ferrer Roca, Ricard; Baselli, Giuseppe; Bendjelid, Karim (Public Library of Science (PLOS), 2018-11-20)
      Article
      Accés obert
      Circulatory shock is a life-threatening disease that accounts for around one-third of all admissions to intensive care units (ICU). It requires immediate treatment, which is why the development of tools for planning ...

    • Intelligent management of sepsis in the intensive care unit 

      Ribas Ripoll, Vicent; Ruiz Rodríguez, Juan Carlos; Vellido Alcacena, Alfredo (IGI Global, 2012-06)
      Capítol de llibre
      Accés restringit per política de l'editorial

    • Is generative artificial intelligence the next step toward a personalized hemodialysis? 

      Hueso Val, Miguel; Alvarez Esteban, Rafael; Marí Martínez, David; Ribas Ripoll, Vicent; Lekadir, Karim; Vellido Alcacena, Alfredo (2023-12)
      Article
      Accés obert
      Artificial intelligence (AI) generative models driven by the integration of AI and natural language processing technologies, such as OpenAI’s chatbot generative pre-trained transformer large language model (LLM), are ...

    • Machine learning in critical care: state-of-the-art and a sepsis case study 

      Vellido Alcacena, Alfredo; Ribas Ripoll, Vicent; Morales, Carlos; Ruiz Sanmartín, Adolf; Ruiz Rodriguez, Juan Carlos (2018-11-20)
      Article
      Accés obert
      Background: Like other scientific fields, such as cosmology, high-energy physics, or even the life sciences, medicine and healthcare face the challenge of an extremely quick transformation into data-driven sciences. This ...

    • Pipeline design to identify key features and classify the chemotherapy response on lung cancer patients using large-scale genetic data 

      Valdés, María Gabriela; Galván Femenía, Iván; Ribas Ripoll, Vicent; Duran Albareda, Xavier; Yokota, Jun; Gavaldà Mestre, Ricard; Rafael-Palou, Xavier; de Cid, Rafael (2018-11-20)
      Article
      Accés obert
      Background: During the last decade, the interest to apply machine learning algorithms to genomic data has increased in many bioinformatics applications. Analyzing this type of data entails difficulties for managing ...

    • Sepsis mortality prediction with the Quotient Basis Kernel 

      Ribas Ripoll, Vicent; Vellido Alcacena, Alfredo; Romero Merino, Enrique; Ruiz Rodríguez, Juan Carlos (2014-05)
      Article
      Accés restringit per política de l'editorial
      Objective: This paper presents an algorithm to assess the risk of death in patients with sepsis. Sepsis is a common clinical syndrome in the intensive care unit (ICU) that can lead to severe sepsis, a severe state of septic ...