Predicting outcomes in patients with perforated gastroduodenal ulcers: artificial neural network modelling indicates a highly complex disease
Crossref DOI link: https://doi.org/10.1007/s00068-014-0417-4
Published Online: 2014-06-14
Published Print: 2015-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Søreide, K.
Thorsen, K.
Søreide, J. A.
License valid from 2014-06-14
