Prediction of Multiple Sclerosis using Ensemble Clustering

Gunnam Rama Devi; Choutapalli Sathish Kumar; Goli Madhava; Biddiga kinnera; Battu Murahari; Gogineni Mona

Prediction of Multiple Sclerosis using Ensemble Clustering

March 2024

Vol-10, Issue-2

Paper ID: 22904

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineer

Keywords

Multiple sclerosis MS prediction Classification Convolutional neural networks CNN XGBoost Medical image analysis Disease diagnosis etc

Abstract

The research paper presents an innovative approach for predicting and classifying multiple sclerosis (MS) using a combination of convolutional neural networks (CNNs) and XGBoost. Leveraging CNNs, the model processes image data to classify MS instances into distinct categories, employing convolutional and pooling layers for feature extraction and fully connected layers for classification. Simultaneously, XGBoost is applied to tabular data to further classify instances into relevant groups. The study details the architecture, training, and evaluation of both models, accompanied by comprehensive performance metrics and visualizations. Through this integrated approach, the research contributes a robust methodology for MS prediction and classification, offering promising results in the domain of medical image analysis and disease diagnosis.

License

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Author Information

#	Name	Institute / Affiliation
1	Gunnam Rama Devi	Assistant Professor, CSE, Vasireddy Venkatadri Institute of Technology
2	Choutapalli Sathish Kumar	Vasireddy Venkatadri Institute of Technology
3	Goli Madhava	Vasireddy Venkatadri Institute of Technology
4	Biddiga kinnera	Vasireddy Venkatadri Institute of Technology
5	Battu Murahari	Vasireddy Venkatadri Institute of Technology
6	Gogineni Mona	Vasireddy Venkatadri Institute of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style

Devi, Gunnam Rama, Kumar, Choutapalli Sathish, Madhava, Goli, kinnera, Biddiga, Murahari, Battu, & Mona, Gogineni (2024). Prediction of Multiple Sclerosis using Ensemble Clustering. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 1302-1313.

MLA Style

Devi, Gunnam Rama, et al. "Prediction of Multiple Sclerosis using Ensemble Clustering." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 1302-1313.

IEEE Style

Gunnam Rama Devi, Choutapalli Sathish Kumar, Goli Madhava, Biddiga kinnera, Battu Murahari, and Gogineni Mona, "Prediction of Multiple Sclerosis using Ensemble Clustering," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 1302-1313, 2024.

Vancouver Style

Devi Gunnam Rama, Kumar Choutapalli Sathish, Madhava Goli, kinnera Biddiga, Murahari Battu, Mona Gogineni. Prediction of Multiple Sclerosis using Ensemble Clustering. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):1302-1313.

Harvard Style

Devi, Gunnam Rama, Kumar, Choutapalli Sathish, Madhava, Goli, kinnera, Biddiga, Murahari, Battu, & Mona, Gogineni (2024) 'Prediction of Multiple Sclerosis using Ensemble Clustering', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 1302-1313.

Chicago Style

Devi, Gunnam Rama, et al. "Prediction of Multiple Sclerosis using Ensemble Clustering." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 1302-1313.

Turabian Style

Devi, Gunnam Rama, et al. "Prediction of Multiple Sclerosis using Ensemble Clustering." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 1302-1313.