• Adverse events: an expensive and avoidable hospital problem 

      San José Saras, Diego; Valencia-Martín, José Lorenzo; Vicente-Guijarro, Jorge; Moreno-Nuñez, Paloma; Pardo, Alberto; Aranaz Andrés, Jesús María (Annals of Medicine, 2022)
      Introduction: Adverse healthcare-related events (AE) entail reduced patient safety. Estimating their frequency, characteristics, avoidability and impact is a means to identify targets for improvement in the quality of care. ...
    • G-Sep: A Deep Learning Algorithm for Detection of Long-Term Sepsis Using Bidirectional Gated Recurrent Unit 

      Rajmohan, R.; Kumar, T. Ananth; Julie, E. Golden; Robinson, Y.H.; Vimal, S.; Kadry, Seifedine; González-Crespo, Rubén (International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, 2022)
      Sepsis is a common and deadly condition that must be treated eloquently within 19 hours. Numerous deep learning techniques, including Recurrent Neural Networks, Convolution Neural Networks, Long Short-Term Memory, and Gated ...
    • Improving security of medical big data by using Blockchain technology 

      Sharma, Pratima; Borah, Malaya Dutta; Namasudra, Suyel (Elsevier Ltd, 2021)
      Big data refers to a very large and diverse set of data that grow at exponential rates. In the modern healthcare system, medical big data face many security issues due to the presence of hackers and malicious users. Nowadays, ...
    • Optimising Health Emergency Resource Management from Multi-Model Databases 

      Arias, J.C.; Cubillas, Juan Jose; Ramos, Maria I. (Electronics (Switzerland), 2022)
      The health care sector is one of the most sensitive sectors in our society, and it is believed that the application of specific and detailed database creation and design techniques can improve the quality of patient care. ...
    • Optimización de la calidad asistencial de urgencias y emergencias mediante bases de datos multidisciplinares 

      Arias, J.C.; Cubillas, Juan Jose; Ramos, Maria I.; Feito, F.R. (Iberian Conference on Information Systems and Technologies, CISTI, 2022)
      En la actualidad una de las técnicas más importantes para mejorar la calidad en la asistencia del paciente es el análisis exhaustivo de todos los aspectos de dicha asistencia mediante la utilización de bases de datos ...