Application of artificial neural network and multiple linear regression models for predicting survival time of patients with non-small cell cancer using multiple prognostic factors including FDG-PET measurements

Yonglin Pu, Michael J. Baad, Yulei Jiang, Yisheng Chen. Application of artificial neural network and multiple linear regression models for predicting survival time of patients with non-small cell cancer using multiple prognostic factors including FDG-PET measurements. In 2014 International Joint Conference on Neural Networks, IJCNN 2014, Beijing, China, July 6-11, 2014. pages 225-230, IEEE, 2014. [doi]

@inproceedings{PuBJC14,
  title = {Application of artificial neural network and multiple linear regression models for predicting survival time of patients with non-small cell cancer using multiple prognostic factors including FDG-PET measurements},
  author = {Yonglin Pu and Michael J. Baad and Yulei Jiang and Yisheng Chen},
  year = {2014},
  doi = {10.1109/IJCNN.2014.6889882},
  url = {http://dx.doi.org/10.1109/IJCNN.2014.6889882},
  researchr = {https://researchr.org/publication/PuBJC14},
  cites = {0},
  citedby = {0},
  pages = {225-230},
  booktitle = {2014 International Joint Conference on Neural Networks, IJCNN 2014, Beijing, China, July 6-11, 2014},
  publisher = {IEEE},
}