Biomedical time series analysis based on bag-of-words model
Contribuinte(s) |
She, Mary Kouzani, Abbass Nahavandi, Saeid |
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Data(s) |
01/11/2013
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Resumo |
This research proposes a number of new methods for biomedical time series classification and clustering based on a novel Bag-of-Words (BoW) representation. It is anticipated that the objective and automatic biomedical time series clustering and classification technologies developed in this work will potentially benefit a wide range of applications, such as biomedical data management, archiving, retrieving, and disease diagnosis and prognosis in the future. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Deakin University, GTP Research, Institute for Frontier Materials |
Relação |
http://dro.deakin.edu.au/eserv/DU:30062983/wang-agreement-2013.pdf http://dro.deakin.edu.au/eserv/DU:30062983/wang-biomedicaltime-2013A.pdf |
Direitos |
The author |
Palavras-Chave | #Biomedical time series classification #Biomedical time series clustering #Bag-of-Words (BoW) #Biomedical data management #Disease diagnosis #Disease prognosis |
Tipo |
Thesis |