Disease Prediction By Articulatory Analysis Using Deep Learning

Authors

  • S.Ramya, S.Ashvini Patil, R.Jeyashree, R.Nethra

Abstract

Tongue diagnosis can be an effectual and intrusive method, allowing additional diagnosis to meet the global requirements of the medical system anytime and anywhere. With the help of image processing, voice-based disease prediction can be performed, It extracts features of tongue and classify it. The neural network convolution algorithm can be used to predict the disease. This structure can link speech diagnosis with the forthcoming healthcare system.

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Published

2021-04-27

How to Cite

S.Ramya, S.Ashvini Patil, R.Jeyashree, R.Nethra. (2021). Disease Prediction By Articulatory Analysis Using Deep Learning. International Journal of Modern Agriculture, 10(2), 2299 - 2303. Retrieved from http://modern-journals.com/index.php/ijma/article/view/1010

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Articles