Name
Abstract | ||
|---|---|---|
Obesity is a complex disease that involves genetic factors, inflammatory patterns, resilience and psycho-social factors. An effective system which is able to recommend adequate training for obese subjects that starts a new protocol would enhance the quality and success of the rehabilitation of these subjects. This paper presents a case-based reasoning system that suggests the most effective type of physical training exercise for obese individuals. The presented system was validated by domain experts and the results of this analysis show that case-based reasoning is a viable approach that can help to improve life of obese people. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3107411.3107467 | BCB |
Field | DocType | ISBN |
Psychological resilience,Rehabilitation,Disease,Computer science,Knowledge management,Artificial intelligence,Case-based reasoning,Reasoning system,Applied psychology,Machine learning | Conference | 978-1-4503-4722-8 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabiana Lorenzi | 1 | 83 | 7.60 |
| Rodrigo G. da Rosa | 2 | 0 | 0.34 |
| Alessandra Peres | 3 | 0 | 0.34 |
| Gilson Pires Dorneles | 4 | 0 | 0.34 |
| André Peres | 5 | 0 | 1.69 |
| Francesco Ricci | 6 | 2597 | 165.86 |