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Application of Clustering Techniques for Lung Sounds to Improve Interpretability and Detection of Crackles
Due to the subjectivity involved currently in pulmonary auscultation process and its diagnostic to evaluate the condition of respiratory airways, this work pretends to evaluate the performance of clustering algorithms such as k-means and DBSCAN to perform a computational analysis of lung sounds aimi...
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| Publicat a: | INGE CUC |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Corporación Universitaria de la Costa
2015
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| Matèries: | |
| Accés en línia: | https://www.redalyc.org/articulo.oa?id=497779324005 |
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