Applying machine learning to predict real-world individual treatment effects: insights from a virtual patient cohort

Gang Fang, Izabela E. Annis, Jennifer Elston-Lafata, Samuel Cykert. Applying machine learning to predict real-world individual treatment effects: insights from a virtual patient cohort. JAMIA, 26(10):977-988, 2019. [doi]

@article{FangAEC19,
  title = {Applying machine learning to predict real-world individual treatment effects: insights from a virtual patient cohort},
  author = {Gang Fang and Izabela E. Annis and Jennifer Elston-Lafata and Samuel Cykert},
  year = {2019},
  doi = {10.1093/jamia/ocz036},
  url = {https://doi.org/10.1093/jamia/ocz036},
  researchr = {https://researchr.org/publication/FangAEC19},
  cites = {0},
  citedby = {0},
  journal = {JAMIA},
  volume = {26},
  number = {10},
  pages = {977-988},
}