Local Naïve Bayes for Predicting Evolution of COVID-19 Patients on Self Organizing Maps

Carlos Arias-Alcaide, Cristina Soguero-Ruíz, Paloma Santos-Alvarez, José Felipe Varona Arche, Inmaculada Mora-Jiménez. Local Naïve Bayes for Predicting Evolution of COVID-19 Patients on Self Organizing Maps. In Donald A. Adjeroh, Qi Long, Xinghua Mindy Shi, Fei Guo, Xiaohua Hu, Srinivas Aluru, Giri Narasimhan, Jianxin Wang, Mingon Kang, Ananda Mondal, Jin Liu, editors, IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022. pages 1443-1450, IEEE, 2022. [doi]

@inproceedings{Arias-AlcaideSS22,
  title = {Local Naïve Bayes for Predicting Evolution of COVID-19 Patients on Self Organizing Maps},
  author = {Carlos Arias-Alcaide and Cristina Soguero-Ruíz and Paloma Santos-Alvarez and José Felipe Varona Arche and Inmaculada Mora-Jiménez},
  year = {2022},
  doi = {10.1109/BIBM55620.2022.9995321},
  url = {https://doi.org/10.1109/BIBM55620.2022.9995321},
  researchr = {https://researchr.org/publication/Arias-AlcaideSS22},
  cites = {0},
  citedby = {0},
  pages = {1443-1450},
  booktitle = {IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022},
  editor = {Donald A. Adjeroh and Qi Long and Xinghua Mindy Shi and Fei Guo and Xiaohua Hu and Srinivas Aluru and Giri Narasimhan and Jianxin Wang and Mingon Kang and Ananda Mondal and Jin Liu},
  publisher = {IEEE},
  isbn = {978-1-6654-6819-0},
}