A comparative study of pattern recognition algorithms for predicting the inpatient mortality risk using routine laboratory measurements

@article{Schtz2018ACS,
  title={A comparative study of pattern recognition algorithms for predicting the inpatient mortality risk using routine laboratory measurements},
  author={Narayan Sch{\"u}tz and Alexander Benedikt Leichtle and Kaspar Riesen},
  journal={Artificial Intelligence Review},
  year={2018},
  pages={1-15}
}
Laboratory tests are a common and relatively cheap way to assess the general health status of patients. Various publications showed the potential of laboratory measurements for predicting inpatient mortality using statistical methodologies. However, these efforts are basically limited to the use of logistic regression models. In the present paper we use… CONTINUE READING