An optimization model for sequential decision-making applied to risk prediction after liver resection and transplantation

@article{Tusch1999AnOM,
  title={An optimization model for sequential decision-making applied to risk prediction after liver resection and transplantation},
  author={G{\"u}nter Tusch},
  journal={Proceedings. AMIA Symposium},
  year={1999},
  pages={425-9}
}
The paper demonstrates a sequential decision procedure, which allows for optimal cost-effective or early decision-making while maintaining given error constraints. As a specific example the construction of a sequential decision procedure to determine if a patient was a high risk patient or not is used. The advantages of the procedure are demonstrated by a surgical problem of risk prediction from a clinical study on liver resection and transplantation. Data are available pre, peri- and… CONTINUE READING

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