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Prior Prophecy of Septicemia Through Machine Learning
Manikandan R, Balaji S R, Sakthivel R, Gayathri L U, Durga E
131 - 137
10.3233/APC200131
Research Article
Advances in Parallel Computing
Volume 37: Intelligent Systems and Computer Technology
Abstract

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.

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