Now showing items 1-4 of 4

    • Classification and features selection method for obesity level prediction 

      Molina Estren, Diego; De la Hoz Manotas, Alexis Kevin; Mendoza Palechor, Fabio (2021-06-15)
      Obesity has become one of the world’s largest health issues, rich and poor countries, without exception, have each year larger populations with this condition. Obesity and overweight are defined as abnormal or excessive fat ...
    • Method based on data mining techniques for breast cancer recurrence analysis 

      Morales Ortega, Roberto; Lozano-Bernal, German; Ariza Colpas, Paola Patricia; ARRIETA RODRIGUEZ, EUGENIA LUZ; Ospino Mendoza, Elisa; caicedo ortiz, jose antonio; Piñeres-Melo, Marlon Alberto; Mendoza Palechor, Fabio; Roca-Vides, Margarita (Corporación Universidad de la Costa, 2020)
      Cancer is a constantly evolving disease, which affects a large number of people worldwide. Great efforts have been made at the research level for the development of tools based on data mining techniques that allow to detect ...
    • Modelo predictivo para la identificación de actividades de la vida diaria (ADL) en ambientes INDOOR usando técnicas de clasificación basadas en machine Learning 

      García Restrepo, Johanna Karina (Corporación Universidad de la CostaMaestría en Gestión de las Tecnologías de Información y la Comunicación, 2020)
      One of the technological aspects that contribute to improving the quality of life of adults, is precisely the enrichment of physical spaces with sensors, video surveillance equipment and actuators, which favor the performance ...
    • Semi-supervised adaptive method for human activities recognition (HAR) 

      Mendoza Palechor, Fabio; Vicario, Enrico; PATARA, FULVIO; De la Hoz Manotas, Alexis Kevin; Molina Estren, Diego (Springer, ChamSwitzerland, 2022)
      Using sensors and mobile devices integrated with hardware and software tools for Human Recognition Activities (HAR), is a growing scientific field, the analysis based on this information have promising benefits to detect ...