Explainable artificial intelligence for pharmacovigilance: What features are important when predicting adverse outcomes?

Isaac Ronald Ward, Ling Wang 0005, Juan Lu, Mohammed Bennamoun, Girish Dwivedi, Frank M. Sanfilippo. Explainable artificial intelligence for pharmacovigilance: What features are important when predicting adverse outcomes?. Computer Methods and Programs in Biomedicine, 212:106415, 2021. [doi]

@article{WardWLBDS21,
  title = {Explainable artificial intelligence for pharmacovigilance: What features are important when predicting adverse outcomes?},
  author = {Isaac Ronald Ward and Ling Wang 0005 and Juan Lu and Mohammed Bennamoun and Girish Dwivedi and Frank M. Sanfilippo},
  year = {2021},
  doi = {10.1016/j.cmpb.2021.106415},
  url = {https://doi.org/10.1016/j.cmpb.2021.106415},
  researchr = {https://researchr.org/publication/WardWLBDS21},
  cites = {0},
  citedby = {0},
  journal = {Computer Methods and Programs in Biomedicine},
  volume = {212},
  pages = {106415},
}