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Prior Prophecy of Septicemia Through Machine Learning

In recent days, diagnosis of sepsis involves a wide range of tests. Single test cannot tell that a person has sepsis. Undetected sepsis finally leads to death. The main drawback of sepsis is, there is much delay in predicting the diseases and identifying the various stages. Thus to avoid this delay in detection, we use Machine Learning concept. Thus by using this method prediction of sepsis has been increased and the mortality rate is reduced.