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[Mathematical models for infectious diseases].
Montesinos-López OA, Hernández-Suárez CM. Montesinos-López OA, et al. Salud Publica Mex. 2007 May-Jun;49(3):218-26. doi: 10.1590/s0036-36342007000300007. Salud Publica Mex. 2007. PMID: 17589776 Review. Spanish.
Deep-learning power and perspectives for genomic selection.
Montesinos-López OA, Montesinos-López A, Hernandez-Suarez CM, Barrón-López JA, Crossa J. Montesinos-López OA, et al. Among authors: hernandez suarez cm. Plant Genome. 2021 Nov;14(3):e20122. doi: 10.1002/tpg2.20122. Epub 2021 Jul 26. Plant Genome. 2021. PMID: 34309215 Free article.
A novel method for genomic-enabled prediction of cultivars in new environments.
Montesinos-López OA, Ramos-Pulido S, Hernández-Suárez CM, Mosqueda González BA, Valladares-Anguiano FA, Vitale P, Montesinos-López A, Crossa J. Montesinos-López OA, et al. Among authors: hernandez suarez cm. Front Plant Sci. 2023 Jul 25;14:1218151. doi: 10.3389/fpls.2023.1218151. eCollection 2023. Front Plant Sci. 2023. PMID: 37564390 Free PMC article.
Using Artificial Intelligence to Develop a Multivariate Model with a Machine Learning Model to Predict Complications in Mexican Diabetic Patients without Arterial Hypertension (National Nested Case-Control Study): Metformin and Elevated Normal Blood Pressure Are Risk Factors, and Obesity Is Protective.
Zaizar-Fregoso SA, Lara-Esqueda A, Hernández-Suarez CM, Delgado-Enciso J, Garcia-Nevares A, Canseco-Avila LM, Guzman-Esquivel J, Rodriguez-Sanchez IP, Martinez-Fierro ML, Ceja-Espiritu G, Ochoa-Díaz-Lopez H, Espinoza-Gomez F, Sanchez-Diaz I, Delgado-Enciso I. Zaizar-Fregoso SA, et al. Among authors: hernandez suarez cm. J Diabetes Res. 2023 Feb 16;2023:8898958. doi: 10.1155/2023/8898958. eCollection 2023. J Diabetes Res. 2023. PMID: 36846513 Free PMC article.
38 results