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Healthcare has always been considered as one of the most important determinant in improving the quality of life and preserving health of human beings around the whole world. However, millions of people have to put up with inaccurate medical care services due to lacking of experienced doctors, especially in the developing countries and areas. Meanwhile, the clinical treatment decision support systems are leveraged to help physicians choose appropriate clinical treatments. Recently there have been many researches focusing on providing clinical treatment advice on patients with single disease, but in reality there exist many patients suffering from co-existing medical conditions.

Our system can help physicians find appropriate medical treatments for patients in some complicated conditions. We proposed multiple regressions is an extension of simple linear regression. It is used when we want to predict the value of a variable based on the value of two or more other variables. The variable we want to predict is called the dependent variable (or sometimes, the outcome, target or criterion variable). The variables we are using to predict the value of the dependent variable are called the independent variables (or sometimes, the predictor, explanatory or regressor variables).

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How to Cite
S.Priyanga, M.Vaitheeswari, R.Rekha, & V.Srikirubanandhini. (2021). To predicting patient information at emergency unit using multiple regerssion algorithm. International Journal of Intellectual Advancements and Research in Engineering Computations, 8(1), 131–135. Retrieved from