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Machine learning for prediction of anticancer drug solubility in supercritical CO₂: a comparative study of random forest and XGboost

Published Online: 2026-02-28

Authors

Khajeh, Mostafa https://orcid.org/0000-0002-7097-2898
Ghaffari-Moghaddam, Mansour

Mahmoudi, Bahareh
Funding

Funding for this research was provided by:

University of Zabol (UOZ-GR-8175)
License Information

Text and Data Mining valid from 2026-02-28

Version of Record valid from 2026-02-28
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Article History

Received: 3 December 2025

Revised: 26 January 2026

Accepted: 2 February 2026

First Online: 28 February 2026

Declarations

:

: The authors state that they have no financial interests or personal relationships that could have influenced the work presented in this paper.

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