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Machine Learning Prediction of Foodborne Disease Pathogens: Algorithm Development and Validation Study.

Hanxue WangWenjuan CuiYunchang GuoYi DuYuanchun Zhou
Published in: JMIR medical informatics (2021)
Data analysis can reflect the distribution of some features of foodborne diseases and the relationship among the features. The classification of pathogens based on the analysis results and machine learning methods can provide beneficial support for clinical auxiliary diagnosis and treatment of foodborne diseases.
Keyphrases
  • machine learning
  • data analysis
  • artificial intelligence
  • gram negative
  • deep learning
  • big data
  • antimicrobial resistance
  • multidrug resistant