 In this research project, we will use EarlySense equipment for continuous monitoring the dialysis patients physiological data along with clinical data such as A. acute complications such as rapid changes in blood pressure, respiratory rate, movements of patients and Nausea or vomiting, etc phenomenons B. Lab examination data C. Status of patient whether patients hospitalized or not and patient death occurred or not. The study is expected to have a pilot study for more than three months duration. Through this EarlySense continuous monitoring and gather the data, we will analyse to develop a prediction model and confirmed with indicators. Evidences from these analytics would help to propose ways to improve it and implement Positive predictive validity models. 