Name
Abstract | ||
|---|---|---|
The application of smart programs and services in the medical field is nowadays a reality that guarantees patients a quality healthcare. In the present article, it is proposed the development of a Clinical Decision Support System CDSS in order to diagnose a set of \"fuzzy diseases\".This concept refers to the diseases that are not diagnosable through a concrete clinical test or symptom. Then, the diagnosis of a \"fuzzy diseases\" set is based in the exclusion of symptoms and tests results, due to the similarity between them. For dealing with these inconveniences, in this paper it has been designed a reasoning method which uses mainly a theory about the conceptual categorization from the Psychology field﾿[1, 2] and the prototypes concept of Zadeh [3]. Through the use of this model, it was obtained a satisfactory result in the evaluation of patients. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-24598-0_12 | Proceedings of the 16th Conference of the Spanish Association for Artificial Intelligence on Advances in Artificial Intelligence - Volume 9422 |
Keywords | Field | DocType |
Prototype set theory,Fuzzy sets,CDSS,Fibromyalgia,Diferential diagnosis | Health care,Categorization,Fuzzy logic,Fuzzy set,Artificial intelligence,Clinical decision support system,Medicine | Conference |
Volume | ISSN | Citations |
9422 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rubén Romero-Córdoba | 1 | 1 | 0.35 |
| José Angel Olivas | 2 | 65 | 12.87 |
| Francisco P. Romero | 3 | 235 | 27.46 |
| Francisco Alonso-Gómez | 4 | 1 | 0.35 |