title: The rate of mucosal healing by azathioprine therapy and prediction by artificial systems.
abstract: OBJECTIVE
  We aimed to assess the effect of azathioprine on mucosal healing in patients with inflammatory bowel diseases (IBD). Artificial neural networks were applied to IBD data for predicting mucosal remission.
  
  
  METHODS
  Two thousand seven hundred patients with IBD were evaluated. According to the computer-based study, data of 129 patients with IBD were used. Artificial neural networks were performed and tested.
  
  
  RESULTS
  Endoscopic mucosal healing was found in 37% patients with IBD. Male gender group showed a negative impact on the efficacy of azathioprine (p<0.05). Responder patients with IBD were older than the nonresponder (p<0.05) patients. According to this study, the cascade-forward neural network study provides 79.1% correct results. In addition to a 0.16033 training error, mean square error (MSE) was taken at the 16th epoch from the feed-forward back-propagation neural network. This neural structure, used for predicting mucosal remission with azathioprine, was also validated.
  
  
  CONCLUSIONS
  Analyzing all parameters within each other to azathioprine therapy were shown that which parameters gave better healing were determined by statistical, and for the most weighted six input parameters, artificial neural network structures were constructed. In this study, feed-forward back-propagation and cascade-forward artificial neural network models were used.
authors.affiliation: Department of Electrical and Electronics Engineering, Gazi University Faculty of Engineering, Ankara, Turkey. metin_basaranoglu@yahoo.com.
authors.forename: Fırat
authors.initials: F
authors.lastname: Hardalaç
authors.forename: Metin
authors.initials: M
authors.lastname: Başaranoğlu
authors.forename: Mahmut
authors.initials: M
authors.lastname: Yüksel
authors.forename: Uğurhan
authors.initials: U
authors.lastname: Kutbay
authors.forename: Mustafa
authors.initials: M
authors.lastname: Kaplan
authors.forename: Yasemin
authors.initials: Y
authors.lastname: Özderin Özin
authors.forename: Z Mesut Yalın
authors.initials: ZM
authors.lastname: Kılıç
authors.forename: Ali E
authors.initials: AE
authors.lastname: Demirbağ
authors.forename: Orhan
authors.initials: O
authors.lastname: Coşkun
authors.forename: Adem
authors.initials: A
authors.lastname: Aksoy
authors.forename: Venkat
authors.initials: V
authors.lastname: Gangarapu
authors.forename: Necati
authors.initials: N
authors.lastname: Örmeci
authors.forename: Ertuğrul
authors.initials: E
authors.lastname: Kayaçetin
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000963:Antimetabolites / Q000627:therapeutic use*; D001379:Azathioprine / Q000627:therapeutic use*; D002648:Child; D005260:Female; D006801:Humans; D015212:Inflammatory Bowel Diseases / Q000145:classification* / Q000188:drug therapy; D007413:Intestinal Mucosa; D008297:Male; D008875:Middle Aged; D016571:Neural Networks, Computer; D012074:Remission Induction; D015203:Reproducibility of Results; D012189:Retrospective Studies; D016896:Treatment Outcome; D055815:Young Adult
chemical_list: D000963:Antimetabolites; D001379:Azathioprine