The focus of this work is to propose a new model of medical care based on an optimal and broad vision for the ideal management of an emergency room from APH care (pre-hospital care) until reaching the classification of the patient based on the TRIGE system in such a way that in an emergency room through logical technological tools such as Bigdata (BD) and Machine Learning (ML), Deep Learning (DL), as well as the implementation of IoT, as there is no previous research it avoids saturation of the rooms, provide methods to save as many lives as possible and no preliminary results can be reached because of the small amount of medical data, data sources, and the difficulty of the different laws that protects personal and medical data.

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TRIAGE Predictive Model Based on Artificial Neural Networks and Deep Learning

  • Hector Fuentes Estolano,
  • Arnulfo Alanis,
  • Efrain Patiñό,
  • Bogart Yail Marquez

摘要

The focus of this work is to propose a new model of medical care based on an optimal and broad vision for the ideal management of an emergency room from APH care (pre-hospital care) until reaching the classification of the patient based on the TRIGE system in such a way that in an emergency room through logical technological tools such as Bigdata (BD) and Machine Learning (ML), Deep Learning (DL), as well as the implementation of IoT, as there is no previous research it avoids saturation of the rooms, provide methods to save as many lives as possible and no preliminary results can be reached because of the small amount of medical data, data sources, and the difficulty of the different laws that protects personal and medical data.