Name
Abstract | ||
|---|---|---|
This study proposes a linear time-invariant (LTI) system based assessment approach for coronary heart disease (CHD) risk. Unlike traditional risk regression models, the new approach considers accumulated effects of CHD factors with time and can thus perform time-based simulation and real time assessment for the progression of coronary heart disease. There are several LTI-based models achieved in this study via black box system identification process on a 1,549-men cohort. These models have good fitting on the sample data and can adequately reproduce results of the current dominant risk models. Our findings verified that the LTI-based modeling approach works for time-based CHD assessment - such models can be used for time-based simulation and real time evaluation if sufficient sample data is observed. © 2013 IEEE. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/HealthCom.2013.6720713 | Healthcom |
Keywords | Field | DocType |
cardiology,regression analysis,real time systems | Black box (phreaking),LTI system theory,Data mining,Computer science,Regression analysis,System identification,Cohort,Heart disease | Conference |
Volume | Issue | ISSN |
null | null | null |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zening Qu | 1 | 27 | 2.81 |
| Yongqiang Lyu | 2 | 9 | 4.20 |
| Yida Tang | 3 | 0 | 0.34 |
| Wenyao Wang | 4 | 0 | 0.34 |
| Zihan Wang | 5 | 0 | 1.69 |
| Jiaming Hong | 6 | 0 | 0.34 |
| Nazim Agoulmine | 7 | 0 | 0.34 |