Predicting Disease-Free Lung Cancer Survival Using Patient Reported Outcome (PRO) Measurements with Comparisons of Five Machine Learning Techniques (MLT)

Jin-ah Sim, Young-Ho Yun. Predicting Disease-Free Lung Cancer Survival Using Patient Reported Outcome (PRO) Measurements with Comparisons of Five Machine Learning Techniques (MLT). In Lucila Ohno-Machado, Brigitte Séroussi, editors, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics, Lyon, France, 25-30 August 2019. Volume 264 of Studies in Health Technology and Informatics, pages 1588-1589, IOS Press, 2019. [doi]

@inproceedings{SimY19,
  title = {Predicting Disease-Free Lung Cancer Survival Using Patient Reported Outcome (PRO) Measurements with Comparisons of Five Machine Learning Techniques (MLT)},
  author = {Jin-ah Sim and Young-Ho Yun},
  year = {2019},
  doi = {10.3233/SHTI190548},
  url = {https://doi.org/10.3233/SHTI190548},
  researchr = {https://researchr.org/publication/SimY19},
  cites = {0},
  citedby = {0},
  pages = {1588-1589},
  booktitle = {MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics, Lyon, France, 25-30 August 2019},
  editor = {Lucila Ohno-Machado and Brigitte Séroussi},
  volume = {264},
  series = {Studies in Health Technology and Informatics},
  publisher = {IOS Press},
  isbn = {978-1-64368-003-3},
}