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- W189942929 abstract "Summary 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. Conclusion: Informatics is beneficial for realizing safe, effective and economical tissue engineering." @default.
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- W189942929 date "2005-01-01" @default.
- W189942929 modified "2023-09-22" @default.
- W189942929 title "Applying Informatics in Tissue Engineering" @default.
- W189942929 doi "https://doi.org/10.1055/s-0038-1633921" @default.
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