A novel stacking ensemble for detecting three types of diabetes mellitus using a Saudi Arabian dataset: Pre-diabetes, T1DM, and T2DM

Mohammed Gollapalli, Aisha Alansari, Heba Alkhorasani, Meelaf Alsubaii, Rasha Sakloua, Reem Alzahrani, Mohammed Al-Hariri, Maiadah Alfares, Dania AlKhafaji, Reem Al Argan, Waleed Albaker. A novel stacking ensemble for detecting three types of diabetes mellitus using a Saudi Arabian dataset: Pre-diabetes, T1DM, and T2DM. Comp. in Bio. and Med., 147:105757, 2022. [doi]

@article{GollapalliAAASA22,
  title = {A novel stacking ensemble for detecting three types of diabetes mellitus using a Saudi Arabian dataset: Pre-diabetes, T1DM, and T2DM},
  author = {Mohammed Gollapalli and Aisha Alansari and Heba Alkhorasani and Meelaf Alsubaii and Rasha Sakloua and Reem Alzahrani and Mohammed Al-Hariri and Maiadah Alfares and Dania AlKhafaji and Reem Al Argan and Waleed Albaker},
  year = {2022},
  doi = {10.1016/j.compbiomed.2022.105757},
  url = {https://doi.org/10.1016/j.compbiomed.2022.105757},
  researchr = {https://researchr.org/publication/GollapalliAAASA22},
  cites = {0},
  citedby = {0},
  journal = {Comp. in Bio. and Med.},
  volume = {147},
  pages = {105757},
}