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- W3098576477 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." @default.
- W3098576477 created "2020-11-23" @default.
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- W3098576477 date "2020-11-10" @default.
- W3098576477 modified "2023-09-27" @default.
- W3098576477 title "Prior Prophecy of Septicemia Through Machine Learning" @default.
- W3098576477 doi "https://doi.org/10.3233/apc200131" @default.
- W3098576477 hasPublicationYear "2020" @default.
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