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Coronary artery disease risk assessment from unstructured electronic health records using text mining
Coronary artery disease (CAD) often leads to myocardial infraction, which may be fatal. Risk factors can be used to predict CAD, which may subsequently lead to prevention or early intervention. Patient data such as co-morbidities, medication history, social history and family history are required to...
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| Publicado no: | J Biomed Inform |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4985289/ https://ncbi.nlm.nih.gov/pubmed/26319542 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2015.08.003 |
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