Order Article Reprints

Attai K, Ekpenyong M, Amannah C, Asuquo D, Ajuga P, Obot O, Johnson E, John A, Maduka O, Akwaowo C, et al. Enhancing the Interpretability of Malaria and Typhoid Diagnosis with Explainable AI and Large Language Models. Tropical Medicine and Infectious Disease. 2024; 9(9):216. https://doi.org/10.3390/tropicalmed9090216

Attai, Kingsley, Moses Ekpenyong, Constance Amannah, Daniel Asuquo, Peterben Ajuga, Okure Obot, Ekemini Johnson, Anietie John, Omosivie Maduka, Christie Akwaowo, and et al. 2024. "Enhancing the Interpretability of Malaria and Typhoid Diagnosis with Explainable AI and Large Language Models" Tropical Medicine and Infectious Disease 9, no. 9: 216. https://doi.org/10.3390/tropicalmed9090216

Attai, K., Ekpenyong, M., Amannah, C., Asuquo, D., Ajuga, P., Obot, O., Johnson, E., John, A., Maduka, O., Akwaowo, C., & Uzoka, F.-M. (2024). Enhancing the Interpretability of Malaria and Typhoid Diagnosis with Explainable AI and Large Language Models. Tropical Medicine and Infectious Disease, 9(9), 216. https://doi.org/10.3390/tropicalmed9090216