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Assessing the effect of quantitative and qualitative predictors on gastric cancer individuals survival using hierarchical artificial neural network models.
Amiri, Zohreh; Mohammad, Kazem; Mahmoudi, Mahmood; Parsaeian, Mahbubeh; Zeraati, Hojjat.
Affiliation
  • Amiri Z; Department Of Basic Sciences, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran.
Iran Red Crescent Med J ; 15(1): 42-8, 2013 Jan.
Article in En | MEDLINE | ID: mdl-23486933
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Qualitative_research / Risk_factors_studies Language: En Journal: Iran Red Crescent Med J Year: 2013 Document type: Article Country of publication: Estonia
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Qualitative_research / Risk_factors_studies Language: En Journal: Iran Red Crescent Med J Year: 2013 Document type: Article Country of publication: Estonia