| A hybrid model based on modular neural networks and fuzzy systems for classification of blood pressure and hypertension risk diagnosis P Melin, I Miramontes, G Prado-Arechiga Expert Systems with Applications 107, 146-164, 2018 | 119 | 2018 |
| Optimal genetic design of type-1 and interval type-2 fuzzy systems for blood pressure level classification JC Guzmán, I Miramontes, P Melin, G Prado-Arechiga Axioms 8 (1), 8, 2019 | 57 | 2019 |
| Optimal design of a general type-2 fuzzy classifier for the pulse level and its hardware implementation O Carvajal, P Melin, I Miramontes, G Prado-Arechiga Engineering Applications of Artificial Intelligence 97, 104069, 2021 | 47 | 2021 |
| Optimal design of interval type-2 fuzzy heart rate level classification systems using the bird swarm algorithm I Miramontes, JC Guzman, P Melin, G Prado-Arechiga Algorithms 11 (12), 206, 2018 | 40 | 2018 |
| A hybrid intelligent system model for hypertension risk diagnosis I Miramontes, G Martínez, P Melin, G Prado-Arechiga Fuzzy Logic in Intelligent System Design: Theory and Applications, 202-213, 2018 | 18 | 2018 |
| A hybrid intelligent system model for hypertension diagnosis I Miramontes, G Martínez, P Melin, G Prado-Arechiga Nature-inspired design of hybrid intelligent systems, 541-550, 2017 | 18 | 2017 |
| Fuzzy dynamic parameter adaptation in the bird swarm algorithm for neural network optimization P Melin, I Miramontes, O Carvajal, G Prado-Arechiga Soft computing 26 (18), 9497-9514, 2022 | 13 | 2022 |
| Comparative study of bio-inspired algorithms applied in the optimization of fuzzy systems I Miramontes, P Melin, G Prado-Arechiga Hybrid intelligent systems in control, pattern recognition and medicine, 219-231, 2020 | 11 | 2020 |
| Fuzzy system for classification of nocturnal blood pressure profile and its optimization with the crow search algorithm I Miramontes, P Melin, G Prado-Arechiga Soft Computing Applications: Proceedings of the 8th International Workshop …, 2021 | 10 | 2021 |
| Particle Swarm Optimization of Modular Neural Networks for Obtaining the Trend of Blood Pressure I Miramontes, P Melin, G Prado-Arechiga Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and …, 2020 | 10 | 2020 |
| PS 05-43 A HYBRID INTELLIGENT MODEL BASED ON MODULAR NEURAL NETWORK AND FUZZY LOGIC FOR HYPERTENSION RISK DIAGNOSIS P Melin, G Prado-Arechiga, I Miramontes, M Medina-Hernandez Journal of Hypertension 34, e153, 2016 | 10 | 2016 |
| Interval type-2 fuzzy approach for dynamic parameter adaptation in the bird swarm algorithm for the optimization of fuzzy medical classifier I Miramontes, P Melin Axioms 11 (9), 485, 2022 | 5 | 2022 |
| Classification of nocturnal blood pressure profile using fuzzy systems P Melin, G Prado-Arechiga, I Miramontes, JC Guzman Journal of Hypertension 36, e111-e112, 2018 | 5 | 2018 |
| Hypertension diagnosis with a soft computing model using a graphical user interface P Melin, G Prado-Arechiga, I Miramontes, JC Guzman Journal of Hypertension 37, e233, 2019 | 4 | 2019 |
| Optimization of an artificial neuronal network for diagnosis of develop hypertension with 7 risk factors P Melin, G Prado-Arechiga, I Miramontes, O Carvajal Journal of Hypertension 37, e3, 2019 | 4 | 2019 |
| A comparative study between european guidelines and American guidelines using fuzzy systems for the classification of blood pressure P Melin, G Prado-Arechiga, JC Guzman, I Miramontes Journal of Hypertension 36, e63-e64, 2018 | 3 | 2018 |
| OS 26-01 Classification of arterial hypertension using a computational model based on artificial modular neural networks P Melin, G Prado-Arechiga, M Pulido, I Miramontes Journal of Hypertension 34, e247, 2016 | 3 | 2016 |
| [PP. 15.16] A new model for obtaining the risk assessment of developing hypertension based on artificial neural networks P Melin, I Miramontes, G Prado-Arechiga Journal of Hypertension 35, e210, 2017 | 2 | 2017 |
| [pp. 08.15] a new artificial intelligence method based on modular neural networks for classification of arterial hypertension P Melin, M Pulido, I Miramontes, G Prado-Arechiga Journal of Hypertension 34, e164, 2016 | 2 | 2016 |
| Enhancing dynamic parameter adaptation in the bird swarm algorithm using general type-2 fuzzy analysis and mathematical functions I Miramontes, P Melin Axioms 12 (9), 834, 2023 | 1 | 2023 |
Oscar CarvajalTijuana Institute of TechnologyVerified email at tectijuana.edu.mx
