Evaluation of stream mining classifiers for real-time clinical decision support system: a case study of blood glucose prediction in diabetes therapy.

Fong S, Zhang Y, Fiaidhi J, Mohammed O, Mohammed S

DOI: 10.1155/2013/274193
Published: 2013
Container: BioMed research international
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2013/274193,
  title = {Evaluation of stream mining classifiers for real-time clinical decision support system: a case study of blood glucose prediction in diabetes therapy.},
  author = {Fong S and Zhang Y and Fiaidhi J and Mohammed O and Mohammed S},
  year = {2013},
  journal = {BioMed research international},
  doi = {10.1155/2013/274193},
  url = {https://doi.org/10.1155/2013/274193}
}

RIS

TY  - JOUR
TI  - Evaluation of stream mining classifiers for real-time clinical decision support system: a case study of blood glucose prediction in diabetes therapy.
AU  - Fong S
AU  - Zhang Y
AU  - Fiaidhi J
AU  - Mohammed O
AU  - Mohammed S
PY  - 2013
JO  - BioMed research international
DO  - 10.1155/2013/274193
UR  - https://doi.org/10.1155/2013/274193
ER  -

APA

S, F., Y, Z., J, F., O, M., & S, M. (2013). Evaluation of stream mining classifiers for real-time clinical decision support system: a case study of blood glucose prediction in diabetes therapy.. BioMed research international. https://doi.org/10.1155/2013/274193

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pubmed · retrieved 2026-09-26T10:29:30.325Z