2023
DOI: 10.1016/j.csite.2023.103273
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Development of a novel machine learning approach to optimize important parameters for improving the solubility of an anti-cancer drug within green chemistry solvent

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Cited by 3 publications
(1 citation statement)
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“…Cross-validation is also important here. In fluid mechanics applications, ETR has been employed to predict various fluid-related properties, such as molecular separation in membrane systems, Vibrio fischeri toxicities, properties of ionic liquid, ink droplet velocity profiles of printing cells, and drug particle solubility optimization [10,[35][36][37][38].…”
Section: The Extra Trees Regressormentioning
confidence: 99%
“…Cross-validation is also important here. In fluid mechanics applications, ETR has been employed to predict various fluid-related properties, such as molecular separation in membrane systems, Vibrio fischeri toxicities, properties of ionic liquid, ink droplet velocity profiles of printing cells, and drug particle solubility optimization [10,[35][36][37][38].…”
Section: The Extra Trees Regressormentioning
confidence: 99%