title: Applying informatics in tissue engineering.
abstract: OBJECTIVE
  To facilitate tissue engineering strategies determination with informatics tools.
  
  
  METHODS
  Firstly, tissue engineering experimental data were standardized and integrated into a centralized database; secondly, we used data mining tools (e.g. artificial neural networks and decision trees) to predict the outcomes of tissue engineering strategies; thirdly, a strategy design algorithm was developed, and its efficacy was validated with animal experiments; lastly, we constructed an online database and a decision support system for tissue engineering.
  
  
  RESULTS
  The artificial neural networks and the decision trees respectively predicted the outcomes of tissue engineering strategies with the predictive accuracy of 95.14% and 85.26%. Following the strategies generated by computer, we cured 18 of the 20 experimental animals with a significantly lower cost than usual.
  
  
  CONCLUSIONS
  Informatics is beneficial for realizing safe, effective and economical tissue engineering.
authors.affiliation: Department of General Surgery, The Shanghai Tenth People's Hospital of Tongji University, Shanghai, PR China. wwwdbwww@163.com
authors.forename: Jie
authors.initials: J
authors.lastname: Xu
authors.forename: Xiaolin
authors.initials: X
authors.lastname: Zhou
authors.forename: Daping
authors.initials: D
authors.lastname: Yang
authors.forename: Haiyan
authors.initials: H
authors.lastname: Ge
authors.forename: Qi
authors.initials: Q
authors.lastname: Wang
authors.forename: Kang
authors.initials: K
authors.lastname: Tu
authors.forename: Tiefang
authors.initials: T
authors.lastname: Guo
mesh_terms: D001185:Artificial Intelligence; D002681:China; D003628:Database Management Systems; D006801:Humans; D008490:Medical Informatics; D016571:Neural Networks, Computer; D023822:Tissue Engineering