JR, N., P, P., L, A., J, A., R, L., JC, P., . . . FJ, C. (2025). A machine learning approach for type 2 diabetes diagnosis and prognosis using tailored heterogeneous feature subsets. Medical & biological engineering & computing, 63(9), 2733. https://doi.org/10.1007/s11517-025-03355-5
Chicago Style (17th ed.) CitationJR, Navarro-Cerdán, et al. "A Machine Learning Approach for Type 2 Diabetes Diagnosis and Prognosis Using Tailored Heterogeneous Feature Subsets." Medical & Biological Engineering & Computing 63, no. 9 (2025): 2733. https://doi.org/10.1007/s11517-025-03355-5.
MLA (9th ed.) CitationJR, Navarro-Cerdán, et al. "A Machine Learning Approach for Type 2 Diabetes Diagnosis and Prognosis Using Tailored Heterogeneous Feature Subsets." Medical & Biological Engineering & Computing, vol. 63, no. 9, 2025, p. 2733, https://doi.org/10.1007/s11517-025-03355-5.