A Machine Learning Approach for Non-Invasive Diagnosis of Metabolic Syndrome

Suparno Datta, Anne Schraplau, Harry Freitas Da Cruz, Jan-Philipp Sachs, Frank Mayer, Erwin P. Böttinger. A Machine Learning Approach for Non-Invasive Diagnosis of Metabolic Syndrome. In 19th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2019, Athens, Greece, October 28-30, 2019. pages 933-940, IEEE, 2019. [doi]

@inproceedings{DattaSCSMB19,
  title = {A Machine Learning Approach for Non-Invasive Diagnosis of Metabolic Syndrome},
  author = {Suparno Datta and Anne Schraplau and Harry Freitas Da Cruz and Jan-Philipp Sachs and Frank Mayer and Erwin P. Böttinger},
  year = {2019},
  doi = {10.1109/BIBE.2019.00175},
  url = {https://doi.org/10.1109/BIBE.2019.00175},
  researchr = {https://researchr.org/publication/DattaSCSMB19},
  cites = {0},
  citedby = {0},
  pages = {933-940},
  booktitle = {19th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2019, Athens, Greece, October 28-30, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-4617-1},
}