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A New Prediction Data Model of High-Risk COVID-19 Patients with Smart Notification (HRCP-SN) Using a Hybridized Algorithm

2023-01-18

Abstract excerpt

<title>Abstract</title> <p>A web application designed to predict high-risk patients affected by COVID-19 runs a machine learning model at the backend to generate results. The random forest classification technique is used to predict the high-risk status of patients who are COVID-19 positive and are at the initial stage of infection. We used hybridized algorithms to predict high-risk patients, and the model used t...

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Literature Corpus work
4328f852-1ba6-5c59-b173-5b314a390767
DOI
10.21203/rs.3.rs-2447975/v1
Open publication

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A New Prediction Data Model of High-Risk COVID-19 Patients with Smart Notification (HRCP-SN) Using a Hybridized AlgorithmDOI 10.21203/rs.3.rs-2447975/v1
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