Gaussian Conditional Random Fields for Modeling Patients ’ Response to Acute Inflammation Treatment Multivariate Medications Healthy Patient State Predicted Patient State Multivariate Measured Patient State CLINICIAN ’ S DECISION PREDICTIVE MODEL MEDICATIONS

@inproceedings{ristovski2013GaussianCR,
  title={Gaussian Conditional Random Fields for Modeling Patients ’ Response to Acute Inflammation Treatment Multivariate Medications Healthy Patient State Predicted Patient State Multivariate Measured Patient State CLINICIAN ’ S DECISION PREDICTIVE MODEL MEDICATIONS},
  author={kosta. ristovski and zoran. obradovic},
  year={2013}
}
  • kosta. ristovski, zoran. obradovic
  • Published 2013
Acute inflammation, a medical condition characterized by a systemic inflammatory response to an infection, is the leading cause of death in non-surgical hospitalized patients. Early diagnosis and appropriate treatment can significantly improve the odds of survival. However, this is a challenging objective due to a very fast progression that requires quick and continuous patient-specific decisions. To aid clinicians in assessing the benefits of different treatment strategies, we propose the… CONTINUE READING