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Advanced machine learning approaches for predicting neglected tropical disease co-endemicity in Kenya: A focus on soil-transmitted helminths, schistosomiasis, and lymphatic filariasis.

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Title: Advanced machine learning approaches for predicting neglected tropical disease co-endemicity in Kenya: A focus on soil-transmitted helminths, schistosomiasis, and lymphatic filariasis.
Authors: Nyerere, Nkuba1 (AUTHOR), Mulwa, Damaris Felistus1,2 (AUTHOR) damaris.mulwa@jkuat.ac.ke
Source: PLoS Neglected Tropical Diseases. 3/30/2026, Vol. 20 Issue 3, p1-22. 22p.
Database: Academic Search Ultimate
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  Data: Advanced machine learning approaches for predicting neglected tropical disease co-endemicity in Kenya: A focus on soil-transmitted helminths, schistosomiasis, and lymphatic filariasis.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Neglected+Tropical+Diseases%22">PLoS Neglected Tropical Diseases</searchLink>. 3/30/2026, Vol. 20 Issue 3, p1-22. 22p.
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        Value: 10.1371/journal.pntd.0014156
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      – TitleFull: Advanced machine learning approaches for predicting neglected tropical disease co-endemicity in Kenya: A focus on soil-transmitted helminths, schistosomiasis, and lymphatic filariasis.
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