Name
Title | ||
|---|---|---|
A hybrid model based on modular neural networks and fuzzy systems for classification of blood pressure and hypertension risk diagnosis. |
Abstract | ||
|---|---|---|
•A hybrid model using modular neural networks and fuzzy logic was designed.•Risk of hypertension diagnosis of a person is obtained with the model.•Hybrid systems for this kind of complex problems have excellent performance.•Fuzzy logic helps model uncertainty in decision process of diagnosis. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2018.04.023 | Expert Systems with Applications |
Keywords | Field | DocType |
Hypertension,Blood pressure,ABPM,Modular neural network,Fuzzy systems | Data mining,Intelligent decision support system,Computer science,Fuzzy logic,Ambulatory blood pressure,Modular neural network,Modular design,Fuzzy control system,Classifier (linguistics),Artificial neural network | Journal |
Volume | ISSN | Citations |
107 | 0957-4174 | 5 |
PageRank | References | Authors |
0.46 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Patricia Melin | 1 | 4009 | 259.43 |
| Ivette Miramontes | 2 | 13 | 1.97 |
| German Prado-Arechiga | 3 | 27 | 3.70 |