2023
DOI: 10.3991/ijoe.v19i01.35047
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Early Bacterial Detection in Bloodstream Infection using Deep Transfer Learning Algorithm

Abstract: An infection caused by bacteria can lead to severe complications affecting bloodstream disease. At present, blood cultures are used to identify bacteria. However, blood culture is a time-consuming and labor-intensive method of diagnosing disease. The effect of delayed early diagnosis is that it influences the mortality risk. Thus, it is urgent to develop an initial prediction model to identify patients with bloodstream infections. This paper focused on classifying the bacteria using a deep learning approach. B… Show more

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