A Real Time Clinical Decision System for Risk Prediction and Severity in Critical Ill Patients Using Machine Learning

This paper predicts the diseases of the patients by considering their symptoms who are admitted in the critical care units. This system operates at the bed side of the patients and predicts the diseases so that the basic treatment is provided to the patients without any delay. By providing basic medication to the patients, the occurrence of serious conditions and circumstances can be prevented. In hospitals, there is a decision system that operates using three phase approach which is prone to delay and inaccuracy. The proposed system eradicates the inaccurate and delayed results by considering the moderate datasets and hence yields better and fast results.