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Application of Support Vector Machine for Prediction of Medication Adherence in Heart Failure Patients
OBJECTIVES: Heart failure (HF) is a progressive syndrome that marks the end-stage of heart diseases, and it has a high mortality rate and significant cost burden. In particular, non-adherence of medication in HF patients may result in serious consequences such as hospital readmission and death. This...
Tallennettuna:
| Päätekijät: | , , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Korean Society of Medical Informatics
2010
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3092139/ https://ncbi.nlm.nih.gov/pubmed/21818444 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4258/hir.2010.16.4.253 |
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