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Explainable machine-learning-based predictions of blood lead levels and school drinking water contamination among children: a case study in Washington DC

Crossref DOI link: https://doi.org/10.1038/s41598-025-24213-2

Published Online: 2025-11-18

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Darling, Dylan

Bhattarai, Yogesh

Kamanmalek, Sara

Talchabhadel, Rocky

Sharma, Sanjib
Funding

Funding for this research was provided by:

College of Engineering and Architecture, Howard University

NASA Student Airborne Science Activation (SaSa) program
License Information

Text and Data Mining valid from 2025-11-18

Version of Record valid from 2025-11-18
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Article History

Received: 2 July 2025

Accepted: 13 October 2025

First Online: 18 November 2025

Declarations

:

: The authors declare no competing interests.

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