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Diagnosis Enhancement for SARS-CoV-2 Associating Demographic and Social Markers Using an AutoML Algorithm

2021-12-17

Abstract excerpt

Background: The new coronavirus pandemic emphasized the relevance of the initial screening of patients, due to the emerging need for its results. Predictive diagnosis combining artificial and geospatial intelligence can accelerate the prediction of COVID-19 diagnosis tests results. Several studies used only clinical variables in predictive modeling, disregarding socioeconomic aspects, human development and social...

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Literature Corpus work
1c840004-2907-5b6f-a6a9-eedbd47cb840
DOI
10.2139/ssrn.3987983
Open publication

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Diagnosis Enhancement for SARS-CoV-2 Associating Demographic and Social Markers Using an AutoML AlgorithmDOI 10.2139/ssrn.3987983
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