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...

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Detalles Bibliográficos
Autores principales: Son, Youn-Jung, Kim, Hong-Gee, Kim, Eung-Hee, Choi, Sangsup, Lee, Soo-Kyoung
Formato: Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2010
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3092139/
https://www.ncbi.nlm.nih.gov/pubmed/21818444
http://dx.doi.org/10.4258/hir.2010.16.4.253

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3092139/
https://www.ncbi.nlm.nih.gov/pubmed/21818444
http://dx.doi.org/10.4258/hir.2010.16.4.253

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