Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Survival analysis of people with cardiac problems in a simulated earthquake environment
Year:2018
Research Areas
  • Clinical medicine,
  • Engineering,
  • Information technology and adata processing
Information
Abstract
This paper states the development of a machine learning model capable of classifying whether a person who has cardiac problems is able to escape from a building if it is affected by an earthquake. The data used to train the model was obtained from a simulation which considered some parameters like earthquake magnitude, BMI, cardiovascular disease, person location within the building, and current evacuation routes. The result of this implementation presents a model able to determine whether a person inside the building could or could not go out of it depending on the parameters previously described, for achieving this goal the use of supervised learning algorithms like KNN and Decision Tree was needed. Also, the case study presents two scenarios, the first scenario presents an evaluation metric at normal walking speed and the second at fast walking speed for a person to escape from an affected building.
International
Si
Congress
2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC)
960
Place
Las Vegas, NV, USA
Reviewers
Si
ISBN/ISSN
978-1-5386-4649-6
10.1109/CCWC.2018.8301618
Start Date
08/01/2018
End Date
10/10/2018
From page
702
To page
706
Proceeding of 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC)
Participants
  • Autor: Washington Adrián Velásquez Vargas (UPM)
  • Autor: José Andrés Muñoz Arcentales (UPM)
  • Autor: Marjorie Chalen (Escuela Superior Politecnica del Litoral)
  • Autor: Joaquin Luciano Salvachua Rodriguez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Internet de Nueva Generación
  • Centro o Instituto I+D+i: Centro de I+d+i en Procesado de la Información y Telecomunicaciones
  • Departamento: Ingeniería de Sistemas Telemáticos
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