Computational Intelligence Model of Orally Disintegrating Tablets: An Attempt to Explain Disintegration Process
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We obtained a curated database based on the database published elsewhere. Chemical descriptors were introduced as characteristics of active pharmaceutical ingredients (APIs). We used H2O AutoML platform in order to develop a Deep Learning model and SHAP method to explain its predictions. Obtained results were satisfactory with NRMSE of 8.1% and R2 of 0.84. Finally, we identified critical parameters affecting the process of disintegration of directly compressed ODTs.
2020 ◽
Vol 13
(4)
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pp. 627-640
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2019 ◽
Vol 59
(7)
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pp. 3240-3250
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2020 ◽
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