Tobias Jorg, Moritz C Halfmann, Dirk Graafen, Lukas Hobohm, Christoph Düber, Peter Mildenberger, Lukas Müller
Structured reporting for efficient epidemiological and in-hospital prevalence analysis of pulmonary embolisms
RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
current technologies correlation analysis regression analysis classification model exhibited various limitations evaluation soybean possessing potentials including single vague evaluation failure quantitative prediction thereby hindering efficient profitable soymilk industry solve problem 54 soybean cultivars corresponding soymilks subjected chemical textural sensory analyses obtain soybean physicochemical nature pn soymilk profit quality attribute pqa datasets deeplearning based model established quantitatively predict pqa data using pn data 45 rounds training stochastic gradient descent optimization 9 remaining pairs pn pqa data used model validation results suggested overall prediction performance model showed significant improvements iterative training trained model eventually reached satisfying predictions relative error 20 standard deviation relative error 40 78 key soymilk pqas future model training using big data may facilitate better prediction soymilk odor qualities