I. J. of Electrical & Electronics Research
Research Article | 
Tongue Diagnosis using CNN for Disease Detection
Author(s): Soma Prathibha1, Saradha K R2, Jothika S3 and Dharshini S4
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 10, Issue 4
Publisher : FOREX Publication
Published : 18 October 2022
e-ISSN : 2347-470X
Page(s) : 817-821
Abstract
In this modern lifestyle, technologies are helping us to maintain our finances, our household things, shopping, and so on. In our research work, we have proposed an application that would tell you the disease or infection that you may have with the help of the developing technology. In this pandemic period, we have to be safer and more Responsible. We have to avoid visiting public places as much as possible for us and our society. Our main aim is to reduce death rates which are all caused due to finding the disease at its final stage because of hesitation to visit the hospital during this pandemic or because of our carelessness. We can overcome it by checking for diseases or infections frequently using a mobile app. In this research work, we are planning to develop a mobile application using which we can frequently check for diseases or infections since we always have our mobile phones with us. With this application, we can detect the percentage of chance of disease that the user may have through tongue diagnosis by considering changes in various tongue factors. The basic objective of the research work is to make people know about their body condition at an earlier stage more easily and quickly with their smart mobile. In this report, we have included the literature survey made for this proposed system, existing works, software requirements, the proposed system, etc.
Keywords: Disease, Conventional Neural Network, Android, Chinese method, medicine, diagnosis, health checkups
Soma Prathibha*, Department of Information Technology, Sri Sairam Engineering College, Chennai, India; Email: prathibha.it@sairam.edu.in
Saradha K R, Department of Information Technology, Sri Sairam Engineering College, Chennai, India; Email: saradha.it@sairam.edu.in
Jothika S, Department of Information Technology, Sri Sairam Engineering College, Chennai, India; Email: sec20it047@sairamtap.edu.in
Dharshini S, Department of Information Technology, Sri Sairam Engineering College, Chennai, India; Email: sec20it060@sairamtap.edu.in
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Soma Prathibha, Saradha K R, Jothika S and Dharshini S (2022), Tongue Diagnosis using CNN for Disease Detection. IJEER 10(4), 817-821. DOI: 10.37391/IJEER.100409.