Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data Using Deep Learning Models

Zakhriya Alhassan, A. Stephen McGough, Riyad Alshammari, Tahani Daghstani, David Budgen, Noura Al Moubayed. Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data Using Deep Learning Models. In Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros S. Iliadis, Ilias Maglogiannis, editors, Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III. Volume 11141 of Lecture Notes in Computer Science, pages 468-478, Springer, 2018. [doi]

@inproceedings{AlhassanMADBM18,
  title = {Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data Using Deep Learning Models},
  author = {Zakhriya Alhassan and A. Stephen McGough and Riyad Alshammari and Tahani Daghstani and David Budgen and Noura Al Moubayed},
  year = {2018},
  doi = {10.1007/978-3-030-01424-7_46},
  url = {https://doi.org/10.1007/978-3-030-01424-7_46},
  researchr = {https://researchr.org/publication/AlhassanMADBM18},
  cites = {0},
  citedby = {0},
  pages = {468-478},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III},
  editor = {Vera Kurková and Yannis Manolopoulos and Barbara Hammer and Lazaros S. Iliadis and Ilias Maglogiannis},
  volume = {11141},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-01424-7},
}