Prediction of Tuberculosis disease using Data Mining Algorithms

Maggo, Saksham and Gupta, Anmol and Jamwal, Sahil and Setia, Prachi and Rathee, Sonia (2021) Prediction of Tuberculosis disease using Data Mining Algorithms. In: Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India.

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Abstract

The expectation and finding of Tuberculosis survivability have been a difficult research issue. Since the early dates of the related research, much headway has been recorded in a few related fields. For example, the biomedical advancements have better logical prognostic elements are being estimated

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 14:09
Last Modified: 17 Apr 2026 09:06
URI: http://eprints.eai.eu/id/eprint/33450

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