Mixture density networks for the indirect estimation of reference intervals

HIGHLIGHTS

  • who: Tobias Hepp from the Department of Medical, Germany University Hospital have published the research work: Mixture density networks for the indirect estimation of reference intervals, in the Journal: (JOURNAL)
  • what: The authors propose the use of mixture density networks (MDN) to overcome this problem and model all parameters of the mixture distribution in a single step. The implemented EM-algorithm is basically identical to the approach described in Hepp et_al (also provided in the Additional files) and can be considered as the current benchmark for conditional mixture modeling in the field of reference interval . . .

     

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