ICU Bloodstream Infection Prediction: A Transformer-Based Approach for EHR Analysis
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66538-7_28
Reference18 articles.
1. Bates, D.W., Pruess, K.E., Lee, T.H.: How bad are bacteremia and sepsis?: Outcomes in a cohort with suspected bacteremia. Arch. Intern. Med.. Intern. Med. 155(6), 593–598 (1995)
2. Roimi, M., Neuberger, A., Shrot, A., Paul, M., Geffen, Y., Bar-Lavie, Y.: Early diagnosis of bloodstream infections in the intensive care unit using machine-learning algorithms. Intensive Care Med. 46, 454–462 (2020)
3. Zoabi, Y., Kehat, O., Lahav, D., Weiss-Meilik, A., Adler, A., Shomron, N.: Predicting bloodstream infection outcome using machine learning. Sci. Rep. 11(1), 20101 (2021)
4. Zhang, F., Wang, H., Liu, L., Teng, S., Ji, B.: Machine learning model for the prediction of gram-positive and gram-negative bacterial bloodstream infection based on routine laboratory parameters. BMC Infect. Dis. 23(1), 675 (2023)
5. Choi, D.H., Lim, M.H., Kim, K.H., Shin, S.D., Hong, K.J., Kim, S.: Development of an artificial intelligence bacteremia prediction model and evaluation of its impact on physician predictions focusing on uncertainty. Sci. Rep.. Rep. 13(1), 13518 (2023)
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