A hybrid Bayesian network and tensor factorization approach for missing value imputation to improve breast cancer recurrence prediction

Mahin Vazifehdan, Mohammad Hossein Moattar, Mehrdad Jalali. A hybrid Bayesian network and tensor factorization approach for missing value imputation to improve breast cancer recurrence prediction. J. King Saud Univ. Comput. Inf. Sci., 31(2):175-184, 2019. [doi]

@article{VazifehdanMJ19,
  title = {A hybrid Bayesian network and tensor factorization approach for missing value imputation to improve breast cancer recurrence prediction},
  author = {Mahin Vazifehdan and Mohammad Hossein Moattar and Mehrdad Jalali},
  year = {2019},
  doi = {10.1016/j.jksuci.2018.01.002},
  url = {https://doi.org/10.1016/j.jksuci.2018.01.002},
  researchr = {https://researchr.org/publication/VazifehdanMJ19},
  cites = {0},
  citedby = {0},
  journal = {J. King Saud Univ. Comput. Inf. Sci.},
  volume = {31},
  number = {2},
  pages = {175-184},
}