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A Recommendation System Based on COVID-19 Prediction & Analyzing Using Ensemble Boosted Machine Learning Algorithm

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Abstract

The unexpected COVID-19 outbreak is currently putting humans around the entire globe in extreme danger. The emergence of this pandemic highlights numerous flaws in the healthcare and medical domain. Hospitals have great difficulty in providing the medical needs of patients during outbreaks, especially when the population grows quickly. It leads to the evolution of the most influential technology, Recommender Systems. Recommender Systems are vital in deciding, especially in determining the COVID-19 patients. We proposed Ensemble boosted classifier for achieving enhanced predictive results through the combination of several models. The proposed mechanism contains a Content-Based Filtering technique with a collaborative filtering system for obtaining suitable recommended results. The proposed system implements three main classes: Bagging, stacking, and boosting. It plays a vital on the keen analysis of the predictive models. As a result, the proposed Ensemble boosted classifier system achieves 99.5% accuracy. It is very efficient in comparison to the existing recommendation system, such as the Symptom-based COVID-19 Test Recommendation System (Lakshmana and Himabindu in Intell Dec Technol 16:181–191. 10.3233/IDT-210015, 2022) with 99% and Convolutional neural network (CNN) and Image Similarity based Recommender System (Kuanr et al. in Diagnostics 12:2700. 10.3390/diagnostics12112700, 2022) with 95% of accuracy.

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  1. Sri. S Ramasamy Naidu Memorial College, Sattur, India

    A. Maheswari

  2. Department of Computer Science, Sri. S Ramasamy Naidu Memorial College, Sattur, India

    K. Arunesh

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  1. A. Maheswari
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  2. K. Arunesh
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This article is part of the topical collection “Advances in Computational Approaches for Image Processing, Wireless Networks, Cloud Applications and Network Security” guest edited by P. Raviraj, Maode Ma and Roopashree H R.

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Maheswari, A., Arunesh, K. A Recommendation System Based on COVID-19 Prediction & Analyzing Using Ensemble Boosted Machine Learning Algorithm. SN COMPUT. SCI. 4, 478 (2023). https://doi.org/10.1007/s42979-023-01907-w

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