Feasibility of a machine learning based method to generate personalized nutrition goals for diabetes self-management

Elliot G. Mitchell, Marissa Burgermaster, Elizabeth M. Heitkemper, Matthew E. Levine, Yishen Miao, Esteban Tabak, Arlene M. Smaldone, David J. Albers, Lena Mamykina. Feasibility of a machine learning based method to generate personalized nutrition goals for diabetes self-management. In AMIA 2019, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 16-20, 2019. AMIA, 2019. [doi]

@inproceedings{MitchellBHLMTSA19,
  title = {Feasibility of a machine learning based method to generate personalized nutrition goals for diabetes self-management},
  author = {Elliot G. Mitchell and Marissa Burgermaster and Elizabeth M. Heitkemper and Matthew E. Levine and Yishen Miao and Esteban Tabak and Arlene M. Smaldone and David J. Albers and Lena Mamykina},
  year = {2019},
  url = {http://knowledge.amia.org/69862-amia-1.4570936/t006-1.4574499/t006-1.4574500/3203572-1.4574642/3202032-1.4574639},
  researchr = {https://researchr.org/publication/MitchellBHLMTSA19},
  cites = {0},
  citedby = {0},
  booktitle = {AMIA 2019, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 16-20, 2019},
  publisher = {AMIA},
}