Automatic detection of anomalies in blood glucose using a machine learning approach

Ying Zhu. Automatic detection of anomalies in blood glucose using a machine learning approach. In Proceedings of the IEEE International Conference on Information Reuse and Integration, IRI 2010, 4-6 August 2010, Las Vegas, Nevada, USA. pages 92-97, IEEE Systems, Man, and Cybernetics Society, 2010. [doi]

@inproceedings{Zhu10-19,
  title = {Automatic detection of anomalies in blood glucose using a machine learning approach},
  author = {Ying Zhu},
  year = {2010},
  doi = {10.1109/IRI.2010.5558959},
  url = {http://dx.doi.org/10.1109/IRI.2010.5558959},
  tags = {machine learning, systematic-approach},
  researchr = {https://researchr.org/publication/Zhu10-19},
  cites = {0},
  citedby = {0},
  pages = {92-97},
  booktitle = {Proceedings of the IEEE International Conference on Information Reuse and Integration, IRI 2010, 4-6 August 2010, Las Vegas, Nevada, USA},
  publisher = {IEEE Systems, Man, and Cybernetics Society},
}