Journal of Applied Mathematics and Computation

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Article http://dx.doi.org/10.26855/jamc.2023.03.002

AI-based Smart Healthcare Disease Diagnosis: Analysis & Design of New Model

Raja Marappan*, S. Bhaskaran

School of Computing, SASTRA Deemed University, Thanjavur, India.

*Corresponding author: Raja Marappan

Published: February 14,2023

Abstract

Recently the provision of healthcare is considered one of the basic societal obligations. Nowadays, the healthcare systems are expanding at a rapid pace. For predicting the risk of diseases, different machine learning algorithms are used in several studies. Most of these algorithms are focused on a single disease, for example, to predict diabetes or cancer disease. Also due to digitization, a lot of data are being produced in the healthcare sector. This data can be studied, analyzed, and used for predictions in using Machine Learning (ML), Artificial Intelligence (AI), and Deep Learning (DL) strategies. To facilitate a common system to diagnose multiple diseases, a smart healthcare diagnosis system has been proposed in this research. The users can choose a disease prediction and give input and see if the person is suffering from that specific disease or not. The proposed methodology is also designed to predict multiple diseases using various intelligence-based learning strategies.

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How to cite this paper

AI-based Smart Healthcare Disease Diagnosis: Analysis & Design of New Model

How to cite this paper:  Raja Marappan, S. Bhaskaran. (2023) AI-based Smart Healthcare Disease Diagnosis: Analysis & Design of New Model. Journal of Applied Mathematics and Computation7(1), 15-18.

DOI: http://dx.doi.org/10.26855/jamc.2023.03.002