Chronic Diseases Prediction Using Machine Learning – A Review

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Shweta Agarwal, Dr. Chander Prabha, Dr. Meenu Gupta

Abstract

The only way to overcome with the mortality due to chronic diseases is to predict it earlier so that the disease prevention can be done. Such model is a Patient’s need in which Machine Learning is highly recommendable.The main objective is to collect all published articles related to disease prediction and conclude about the coverage of research done so far.For conducting this survey, we focused on published research from 2017 up to today, review the research done on various machine learning algorithms used for the efficient prediction of diseases.It has been observed that features, independent variable selection and combination of multiple algorithms plays an important role in improving the accuracy as well as performance of a disease prediction system, and it is possible to diagnose people based on symptoms.In this paper, we discussed different ML techniques and their accuracy that other researchers used to diagnose chronic diseases.

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How to Cite
Shweta Agarwal, Dr. Chander Prabha, Dr. Meenu Gupta. (2021). Chronic Diseases Prediction Using Machine Learning – A Review. Annals of the Romanian Society for Cell Biology, 3495 - 3511. Retrieved from http://annalsofrscb.ro/index.php/journal/article/view/461
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