Corpus ID: 88521653

Transfer Learning via Latent Factor Modeling to Improve Prediction of Surgical Complications

@article{Lorenzi2016TransferLV,
  title={Transfer Learning via Latent Factor Modeling to Improve Prediction of Surgical Complications},
  author={Elizabeth C. Lorenzi and Zhifei Sun and Erich Huang and Ricardo Henao and Katherine A. Heller},
  journal={arXiv: Machine Learning},
  year={2016}
}
  • Elizabeth C. Lorenzi, Zhifei Sun, +2 authors Katherine A. Heller
  • Published 2016
  • Mathematics
  • arXiv: Machine Learning
  • We aim to create a framework for transfer learning using latent factor models to learn the dependence structure between a larger source dataset and a target dataset. The methodology is motivated by our goal of building a risk-assessment model for surgery patients, using both institutional and national surgical outcomes data. The national surgical outcomes data is collected through NSQIP (National Surgery Quality Improvement Program), a database housing almost 4 million patients from over 700… CONTINUE READING

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