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arXiv · 2110.09436

Early Diagnostic Prediction of Covid-19 using Gradient-Boosting Machine Model

Satvik Tripathi
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Abstract

With the huge spike in the COVID-19 cases across the globe and reverse transcriptase-polymerase chain reaction (RT-PCR) test remains a key component for rapid and accurate detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In recent months there has been an acute shortage of medical supplies in developing countries, especially a lack of RT-PCR testing resulting in delayed patient care and high infection rates. We present a gradient-boosting machine model that predicts the diagnostics result of SARS-CoV- 2 in an RT-PCR test by utilizing eight binary features. We used the publicly available nationwide dataset released by the Israeli Ministry of Health.

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Satvik Tripathi. 2021-10-12. Early Diagnostic Prediction of Covid-19 using Gradient-Boosting Machine Model. https://arxiv.org/abs/2110.09436

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