Enhancing the interpretability of malaria and typhoid diagnosis with explainable AI and large language models

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Uzoka, Faith-Michael, Kingsley Attai, Moses Ekpenyong, Constance Amannah, Daniel Asuquo, Peterben Ajuga, Okure Obot, et al. “Enhancing the interpretability of malaria and typhoid diagnosis with explainable AI and large language models”. Article. Tropical Medicine and Infectious Disease. Science and Technology. Basel, Switzerland: MDPI, 2024. https://doi.org/10.3390/tropicalmed9090216.

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