Machine learning-based risk factor analysis and prevalence prediction of intestinal parasitic infections using epidemiological survey data.
<h4>Background</h4>Previous epidemiological studies have examined the prevalence and risk factors for a variety of parasitic illnesses, including protozoan and soil-transmitted helminth (STH, e.g., hookworms and roundworms) infections. Despite advancements in machine learning for data an...
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| Main Authors: | , , , , , , , , , |
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| Format: | Book |
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Public Library of Science (PLoS),
2022-06-01T00:00:00Z.
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