High performance hybrid cognitive framework for bio-facial signal fusion processing for the disease diagnosis

摘要

In today's world, every human's life is affected by the several numbers of diseases which increases dayby-day due to the unpredicted growth of the pathogens. This leads to the increase in the death rate of the humans in which 70% take place without the proper knowledge of the diagnosis of diseases and caretaking mechanism. Numerous methods have been proposed for the diagnosis of the diseases or predetermination of the diseases. We propose a new method for diagnosing the disease through the fusion of biosignal and the facial expression codes. The new algorithm which is based on the Cognitive Extreme Learning Machines (CELM) has been implemented for the classification of different facial expressions in accordance with the symptoms of the diseases and relates the results for their diagnosis. Again, the Cognitive Rule Engine has been used for the incorporation for the predetermination and diagnosis. The proposed method has been compared with the existing intelligent learning algorithms and the results are proved to be more accurate in terms of the recognition rate, and training speed. (C) 2019 Elsevier Ltd. All rights reserved.