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One-stop Intelligent Assisted Bilingual TCM Parenting Interactive System

Description: Design the first children’s health interactive system in the application market, which combines the functions of intelligent assisted TCM constitutions identification and tongue image identification. With the system, parents can have accurate understanding of the characteristics of children’s physiological and psychological development; adopt targeted nursing methods according to the results of constitution identification; and master the TCM care in family for children’s common diseases. For the first time, Generative Adversarial Neural Network (GAN) was adopted to construct the intelligent identification model of children’s TCM constitutions. With .net as the development environment, and combining Mysql database, the B/S architecture Web application is developed.GAN, Decision Tree, MLP, SVM and other models were used for data simulation experiment comparison. GAN has the highest accuracy of 92.1%. GAN is the optimal model for intelligentized identification of children's TCM physique, so that the system has the functions of sensitive recognition of children's tongue image, identification of children's TCM constitutions, inquiry of children's TCM recuperation of common diseases, etc.This system can be installed and applied in smart phones and tablet computers with an iOS or Android system, and WeChat, a social media platform can be used for science popularization and commercial operation for the system. Moreover, the application of Chinese-English bilingual interface is conducive to the international promotion of TCM. In January 2020, Shanghai Association of Traditional Medical Engineering will issue the "Application Certificate of Results" for this system. In 2020, 2 papers related to this system will be published. I applied for one invention patent and obtained two software Copyrights. Relevant achievements have won 4 international awards.

Design the first children’s health interactive system in the application market, which combines the functions of intelligent assisted TCM constitutions identification and tongue image identification. With the system, parents can have accurate understanding of the characteristics of children’s physiological and psychological development; adopt targeted nursing methods according to the results of constitution identification; and master the TCM care in family for children’s common diseases. For the first time, Generative Adversarial Neural Network (GAN) was adopted to construct the intelligent identification model of children’s TCM constitutions. With .net as the development environment, and combining Mysql database, the B/S architecture Web application is developed. GAN, Decision Tree, MLP, SVM and other models were used for data simulation experiment comparison. GAN has the highest accuracy of 92.1%. GAN is the optimal model for intelligentized identification of children's TCM physique, so that the system has the functions of sensitive recognition of children's tongue image, identification of children's TCM constitutions, inquiry of children's TCM recuperation of common diseases, etc. Based on the ecological theory of traditional Chinese medicine, the developed software module is simple. Through the self-health management of traditional Chinese medicine, the balance improvement of children's biased constitution is the focus, providing parents with practical, safe and effective traditional Chinese medicine parenting technology; At the same time, it does not involve diagnosis and treatment, thus avoiding medical risks. The system uses adversarial deep learning technology to intelligently differentiate common diseases in pediatrics of traditional Chinese medicine, which improves the accuracy of differentiation, and further improves the accuracy of constitution analysis results by combining tongue image analysis and constitution identification questionnaire of traditional Chinese medicine. In November 2019, in Singapore, more than 60 people from Japan, South Korea, Egypt, Ukraine and other countries scanned the code for trial use, which proved that it is suitable for foreign mobile phone operating systems and has the conditions for overseas promotion. This system can be installed and applied in smart phones and tablet computers with an iOS or Android system, and WeChat, a social media platform can be used for science popularization and commercial operation for the system. Moreover, the application of Chinese-English bilingual interface is conducive to the international promotion of TCM. In January 2020, Shanghai Association of Traditional Medical Engineering will issue the "Application Certificate of Results" for this system. In 2020, 2 papers related to this system will be published. I applied for one invention patent and obtained two software Copyrights. Relevant achievements have won 4 international awards.

Organisation: Shanghai East Foreign Language School Affiliated To SISU

Innovator(s): JIA MINGXUAN

Category: Young inventors

Country: China

Silver Award