TY - JOUR
T1 - Blockchain cnn deep learning expert system for healthcare emergency
AU - Aguilera, Ricardo Carreño
AU - Ortiz, Miguel Patiño
AU - Banda, Adan Acosta
AU - Aguilera, Luis Enrique Carreño
N1 - Publisher Copyright:
© 2021 The Author(s).
PY - 2021/9/1
Y1 - 2021/9/1
N2 - This paper relates to the field of Artificial Intelligence, specifically to image recognition, and provides an innovative method to take advantage of Blockchain Convolutional Neural Networks (BCNNs) in Emotion Recognitions (ERs) using audio-visual emotion patterns to determine a healthcare emergency to be attended. BCNN architectures were used to identify emergency patterns. The results obtained indicate that the proposed method is adequate for the classification and identification of audio-visual patterns using deep learning (DL) with Restricted Boltzmann Machines (RBMs). It is concluded that it is sufficient to consider the audio-visible key features obtained from the patient's face and voice of the proposed model to recognize a healthcare emergency for immediate action. "Sense of urgency"and "with urgency but with self-control"are the emotion profiles considered for a healthcare emergency, and user personal emotion profiles are stored in the Blockchain ecosystem since they are deemed sensitive data.
AB - This paper relates to the field of Artificial Intelligence, specifically to image recognition, and provides an innovative method to take advantage of Blockchain Convolutional Neural Networks (BCNNs) in Emotion Recognitions (ERs) using audio-visual emotion patterns to determine a healthcare emergency to be attended. BCNN architectures were used to identify emergency patterns. The results obtained indicate that the proposed method is adequate for the classification and identification of audio-visual patterns using deep learning (DL) with Restricted Boltzmann Machines (RBMs). It is concluded that it is sufficient to consider the audio-visible key features obtained from the patient's face and voice of the proposed model to recognize a healthcare emergency for immediate action. "Sense of urgency"and "with urgency but with self-control"are the emotion profiles considered for a healthcare emergency, and user personal emotion profiles are stored in the Blockchain ecosystem since they are deemed sensitive data.
KW - Blockchain Convolutional Neural Network (BCNN)
KW - Deep Learning (DL)
KW - Emotion Recognition (ER)
KW - Healthcare Emergency
UR - http://www.scopus.com/inward/record.url?scp=85112601482&partnerID=8YFLogxK
U2 - 10.1142/S0218348X21502273
DO - 10.1142/S0218348X21502273
M3 - Artículo
AN - SCOPUS:85112601482
SN - 0218-348X
VL - 29
JO - Fractals
JF - Fractals
IS - 6
M1 - 2150227
ER -