Innovative Method to Build Robust Prediction Models When Gold-Standard Outcomes Are Scarce

Ying Zhu, Roshan Tourani, Adam Sheka, Elizabeth C. Wick, Genevieve B. Melton, György J. Simon. Innovative Method to Build Robust Prediction Models When Gold-Standard Outcomes Are Scarce. In Martin Michalowski, Robert Moskovitch, editors, Artificial Intelligence in Medicine - 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25-28, 2020, Proceedings. Volume 12299 of Lecture Notes in Computer Science, pages 170-180, Springer, 2020. [doi]

@inproceedings{ZhuTSWMS20,
  title = {Innovative Method to Build Robust Prediction Models When Gold-Standard Outcomes Are Scarce},
  author = {Ying Zhu and Roshan Tourani and Adam Sheka and Elizabeth C. Wick and Genevieve B. Melton and György J. Simon},
  year = {2020},
  doi = {10.1007/978-3-030-59137-3_16},
  url = {https://doi.org/10.1007/978-3-030-59137-3_16},
  researchr = {https://researchr.org/publication/ZhuTSWMS20},
  cites = {0},
  citedby = {0},
  pages = {170-180},
  booktitle = {Artificial Intelligence in Medicine - 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25-28, 2020, Proceedings},
  editor = {Martin Michalowski and Robert Moskovitch},
  volume = {12299},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-59137-3},
}