The detection and prediction of surgical site infections using multi-modal sensors and machine learning: results in an animal model

HIGHLIGHTS

• who: Charmayne Mary Lee Hughes and colleagues from the Health Equity Institute NeuroTech Laboratory, San Francisco State University, San Francisco, CA have published the research work: The detection and prediction of surgical site infections using multi-modal sensors and machine learning: Results in an animal model, in the Journal: (JOURNAL) of 17/04/2023

SUMMARY

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ACRONYMS

LAY DEFINITIONS

• infections: Invasion of the host organism by microorganisms or their toxins or by parasites that can cause pathological conditions or diseases.
• learning: Learning is the process of . . .
  

   

  

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