Failure Sources in Machine Learning for Medicine - A Study

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE 18th International Conference on e-Science, eScience 2022
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Pages501-506
Number of pages6
ISBN (Electronic)9781665461245
DOIs
StatePublished - 2022
Event18th IEEE International Conference on e-Science, eScience 2022 - Salt Lake City, United States
Duration: Oct 10 2022Oct 14 2022

Publication series

NameProceedings - 2022 IEEE 18th International Conference on e-Science, eScience 2022

Conference

Conference18th IEEE International Conference on e-Science, eScience 2022
Country/TerritoryUnited States
CitySalt Lake City
Period10/10/2210/14/22

ASJC Scopus Subject Areas

  • Library and Information Sciences
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Modeling and Simulation
  • Instrumentation

Keywords

  • machine learning
  • naïve Bayes
  • neural network
  • pseudo-random number generator
  • random forest
  • randomness
  • reproducibility

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