Does the proposed machine learning approach improve the prediction of unplanned 30-day readmission in ICU patients with heart failure compared to other ML-based models and health calculators?
A novel machine learning approach incorporating time-related variables and prior medical history significantly improves the prediction of 30-day readmission for ICU patients with heart failure.
The proposed approach was capable of modeling the time-related variables and incorporating the medical history of patients from prior hospital visits for prediction. Thus, our approach significantly improved the outcome prediction compared to that of other ML-based models and health calculators.
Pishgar et al. (Mon,) studied this question.