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Journal of Applied Mathematics and Computation

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

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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

Date: February 14,2023　Hits: 367

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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[26] Raja Marappan, Gopalakrishnan Sethumadhavan, R.K. Srihari. New approximation algorithms for solving graph coloring problem—An experimental approach, Perspectives in Science, Volume 8, 2016, Pages 384-387, ISSN 2213-0209.

https://doi.org/10.1016/j.pisc.2016.04.083.

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[28] S. Balakrishnan, Tamilarasi Suresh, Raja Marappan. Analysis of Recent Trends in Solving NP Problems with New Research Directions Using Evolutionary Methods. International Journal of Research Publication and Reviews, Vol (2), Issue (8), (2021) Page 1429-1435.

[29] S. Bhaskaran; Raja Marappan. New Personalized Recommendation System for E-Learning. AshEse Journal of Physical Science. Vol. 5(5), pp. 063-067, August, 2021 ISSN: 2059-7827. 

DOI: http://www.ashese.co.uk/ajps-v5-issue-5/new-personalized-recommendation-system-for-e-learning.

[30] S. Balakrishnan, Tamilarasi Suresh, Raja Marappan. (2021). A New Multi-Objective Evolutionary Approach to Graph Coloring and Channel Allocation Problems. Journal of Applied Mathematics and Computation, 5(4), 252-263. 

DOI: http://dx.doi.org/10.26855/jamc.2021.12.003.

[31] Raja Marappan. A New Multi-Objective Optimization in Solving Graph Coloring and Wireless Networks Channels Allocation Problems. Int. J. Advanced Networking and Applications, Volume: 13, Issue: 02, Pages: 4891-4895 (2021).

[32] Raja Marappan, S. Bhaskaran, N. Aakaash, S. Mathu Mitha. (2022). Analysis of COVID-19 Prediction Models: Design & Analysis of New Machine Learning Approach. Journal of Applied Mathematics and Computation, 6(1), 121-126.  DOI: http://dx.doi.org/10.26855/jamc.2022.03.013.

[33] Raja Marappan, S. Bhaskaran, S. Ashwadh, H. Aathi Raj. (2022). Extraction of Drug Review Polarity Using Sentimental Analysis. Journal of Applied Mathematics and Computation, 6(2), 167-177. DOI: http://dx.doi.org/10.26855/jamc.2022.06.001.

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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 Computation, 7(1), 15-18.

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