Machine learning prognostic model and drug survival analysis for lung adenocarcinoma in the context of radiotherapy.
- DOI
- 10.36721/pjps.2026.39.12.338.1
- Published
- 2026 Dec 1
- Container
- Pakistan journal of pharmaceutical sciences
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.36721/pjps.2026.39.12.338.1,
title = {Machine learning prognostic model and drug survival analysis for lung adenocarcinoma in the context of radiotherapy.},
author = {Ju Z and Wu Y and Tian L and Shen D and Wang R},
year = {2026},
journal = {Pakistan journal of pharmaceutical sciences},
doi = {10.36721/pjps.2026.39.12.338.1},
url = {https://doi.org/10.36721/pjps.2026.39.12.338.1}
}RIS
TY - JOUR TI - Machine learning prognostic model and drug survival analysis for lung adenocarcinoma in the context of radiotherapy. AU - Ju Z AU - Wu Y AU - Tian L AU - Shen D AU - Wang R PY - 2026 JO - Pakistan journal of pharmaceutical sciences DO - 10.36721/pjps.2026.39.12.338.1 UR - https://doi.org/10.36721/pjps.2026.39.12.338.1 ER -
APA
Z, J., Y, W., L, T., D, S., & R, W. (2026). Machine learning prognostic model and drug survival analysis for lung adenocarcinoma in the context of radiotherapy.. Pakistan journal of pharmaceutical sciences. https://doi.org/10.36721/pjps.2026.39.12.338.1
Source records
- pubmed · retrieved 2026-09-26T02:14:07.570Z