Name
Abstract | ||
|---|---|---|
•Real time model for finding the impact on risk factors due to actions taken by users.•ChronicPrediction uses data generated by patients for improve its predictions models.•We have built a Bayesian Network for predicting coronary artery disease.•Training data was statistically validated showing similarity with real conditions.•Four scenarios were designed for functionally testing the prototype of our model. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.tele.2018.02.005 | Telematics and Informatics |
Keywords | Field | DocType |
Ubiquitous computing,Mobile computing,Bayesian Networks,Chronic disease | Coronary artery disease,Computer science,Bayesian network,Developed country,Medical emergency,Prospective cohort study,Multiple Chronic Diseases,Marketing,Biological risk factors | Journal |
Volume | Issue | ISSN |
35 | 5 | 0736-5853 |
Citations | PageRank | References |
0 | 0.34 | 27 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fábio Pittoli | 1 | 0 | 0.34 |
| Henrique Damasceno Vianna | 2 | 8 | 3.82 |
| Jorge Luis Victória Barbosa | 3 | 73 | 29.37 |
| Emerson Butzen | 4 | 0 | 0.34 |
| Mari Ângela Gaedke | 5 | 0 | 0.34 |
| Juvenal Soares Dias da Costa | 6 | 0 | 0.34 |
| Renan Belarmino Scherer dos Santos | 7 | 0 | 0.68 |