| Autor: |
Watt EW; University of California Los Angeles, Los Angeles, CA, USA., Bui AA |
| Jazyk: |
angličtina |
| Zdroj: |
AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2008 Nov 06, pp. 788-92. Date of Electronic Publication: 2008 Nov 06. |
| Abstrakt: |
The most common cause of disability in older adults in the United States is osteoarthritis. To address the problem of early disease prediction, we have constructed a Bayesian belief network (BBN) composed of knee OA-related symptoms to support prognostic queries. The purpose of this study is to evaluate a static and dynamic BBN--based on the NIH Osteoarthritis Initiative (OAI) data--in predicting the likelihood of a patient being diagnosed with knee OA. Initial validation results are promising: our model outperforms a logistic regression model in several designed studies. We can conclude that our model can effectively predict the symptoms that are commonly associated with the presence of knee OA. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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