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Integrated clinical and genomic models using machine-learning methods to predict the efficacy of paclitaxel-based chemotherapy in patients with advanced gastric cancer

Crossref DOI link: https://doi.org/10.1186/s12885-024-12268-9

Published Online: 2024-04-20

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

Authors

Choi, Yonghwa

Lee, Jangwoo

Shin, Keewon

Lee, Ji Won

Kim, Ju Won

Lee, Soohyeon

Choi, Yoon Ji

Park, Kyong Hwa

Kim, Jwa Hoon
Funding

Funding for this research was provided by:

Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (HR22C1302, HR22C1302, HR22C1302, HR22C1302, HR22C1302, HR22C1302, HR22C1302, HR22C1302, HR22C1302)
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Text and Data Mining valid from 2024-04-20

Version of Record valid from 2024-04-20
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Article History

Received: 19 January 2024

Accepted: 16 April 2024

First Online: 20 April 2024

Declarations

:

: The study protocol was approved by the Institutional Review Board of the Korea University Anam Hospital. Informed consent was obtained from all the patients. This study was conducted in accordance with the Declaration of Helsinki and Good Clinical Practice guidelines.

: Not applicable.

: The authors have no conflicts of interest to declare.

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