Forecasting hyponatremia in hospitalized patients using multilayer perceptron and multivariate linear regression techniques

The percentage of patients hospitalized due to hyponatremia is getting higher. Hyponatremia the deficiency sodium electrolyte in human serum. This might indulge adverse effects and also associated with longer hospital stay or mortality, if it wasnt actively treated managed. work predicts futuristic levels based on their history health problems using multilayer perceptron multivariate linear regression algorithm. analyses age, information about other disease such as diabetes, pneumonia, liver-disease, malignancy, pulmonary, sepsis, SIADH, level patient during admission hospital. results proposed MLP algorithm compared MLR results. prediction generates 23-72 higher than Thus, has produced 57.1 reduced mean squared error rate predicting future ranges patients. Further, produces 27-50 precision rate.