Daily prediction of ICU readmissions using feature engineering and ensemble fuzzy modeling
This paper proposes a feature engineering approach and Takagi-Sugeno-based ensemble fuzzy models for predicting ICU readmissions on a daily basis.
This paper proposes a feature engineering approach and Takagi-Sugeno-based ensemble fuzzy models for predicting ICU readmissions on a daily basis.
This paper proposes the use of mixed fuzzy clustering (MFC) algorithm to simultaneously cluster time variant and time invariant data.
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
Template by Bootstrapious. Ported to Hugo by DevCows