Application of Machine Learning Algorithms for Identification of Contaminated Blood Samples: Accuracy and Validity Examination

Jason V. Mancuso, Peter Short, Edumnds Reineks, Elena A. Manilich. Application of Machine Learning Algorithms for Identification of Contaminated Blood Samples: Accuracy and Validity Examination. In AMIA 2017, American Medical Informatics Association Annual Symposium, Washington, DC, November 4-8, 2017. AMIA, 2017. [doi]

@inproceedings{MancusoSRM17,
  title = {Application of Machine Learning Algorithms for Identification of Contaminated Blood Samples: Accuracy and Validity Examination},
  author = {Jason V. Mancuso and Peter Short and Edumnds Reineks and Elena A. Manilich},
  year = {2017},
  url = {http://knowledge.amia.org/65881-amia-1.3897810/t004-1.3900473/f004-1.3900474/2731884-1.3900940/2731213-1.3900937},
  researchr = {https://researchr.org/publication/MancusoSRM17},
  cites = {0},
  citedby = {0},
  booktitle = {AMIA 2017, American Medical Informatics Association Annual Symposium, Washington, DC, November 4-8, 2017},
  publisher = {AMIA},
}