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Self-adaptive data-driven evolutionary algorithm based on random forest feature selection and incremental Gaussian process regression on personalized antidepressant medication research

Crossref DOI link: https://doi.org/10.1007/s10489-025-06698-6

Published Online: 2025-07-05

Published Print: 2025-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhao, Ruxin https://orcid.org/0000-0002-6810-2631
Zhang, Hongtan

Liu, Chang

Xie, Yulin

Cao, Yue

Shi, Yang
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (61906164)

Natural Science Foundation of Jiangsu Province (BK20190875)
License Information

Text and Data Mining valid from 2025-07-05

Version of Record valid from 2025-07-05
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Article History

Accepted: 4 June 2025

First Online: 5 July 2025

Declarations

:

: Not applicable.

: The authors declared that they have no conflicts of interest to this work.

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