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A Boosting-inspired Personalized Thresholding Method For Sepsis Screening.pdf

p_FGKM_2019.pdf
Preview of A boosting-inspired personalized thresholding method for sepsis screening
🔗 Source: sites.gatech.edu
📊 Size: 1.49 MB
📄 Pages: 22 pages
⬇️ Downloads: 75

Summary

Researchers propose a personalized threshold method for sepsis screening, inspired by boosting, a machine learning technique. The method incorporates patient baseline characteristics to improve the accuracy of the quick Sequential Organ Failure Assessment (qSOFA) score, which has low specificity in ICU populations. The personalized threshold method is compared to qSOFA, five previously published methods, and machine learning algorithms, and achieves higher accuracy than qSOFA and comparable performance to machine learning methods. The method is easier to adopt in real-life monitoring than machine learning methods, as it is computed once for a patient and used in the same way as qSOFA.

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Description

Researchers propose a personalized threshold method for sepsis screening, inspired by boosting, a machine learning technique.

Technical Information

  • File Format: PDF
  • File Size: 1.49 MB
  • Pages: 22
  • Language: EN
  • Total Downloads: 75
  • Last Updated: 2 weeks ago

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This PDF document about A boosting-inspired personalized thresholding method for sepsis screening provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into A boosting-inspired personalized thresholding method for sepsis screening.

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