This paper proposes a prediction model based on preoperative characteristics, in order to support the decision of co-management of surgical patients in the postoperative ward setting. The model is a simple bedside decision tool that uses only four numerical variables.
This paper proposes a feature engineering approach and Takagi-Sugeno-based ensemble fuzzy models for predicting ICU readmissions on a daily basis.
This paper discusses the service life prediction of natural stone claddings using a Takagi-Sugeno fuzzy model.
This paper proposes the use of mixed fuzzy clustering (MFC) algorithm to derive Takagi-Sugeno (TS) fuzzy models.
This paper proposes the use of probabilistic fuzzy systems (PFS) to predict mortality of septic shock patients.
This paper proposes ensemble fuzzy modeling for personalized medicine in the intensive care unit (ICU), in particular for the prediction of vasopressors administration.
This paper proposes fuzzy modeling for predicting severely impaired left ventricular ejection fraction (LVEF) using patient data routinely collected in the ICU.
Intelligent Systems 4
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