Correction: Developing a machine learning-based predictive model for the analgesic effectiveness of transdermal fentanyl in cancer patients: an interpretable approach
机构：[1]Department of Pharmacy, Chongqing Jiulongpo People’s Hospital, Chongqing, China [2]Department of Pharmacy, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Afliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China 临床药学部临床药学部四川省肿瘤医院[3]Department of Pharmacy, Chongqing University Cancer Hospital, Chongqing, China [4]Chongqing University, Chongqing, China
In the original version of this article, the term “BMI” in the
Results subsection of the Abstract was incorrectly written
as “BMI2
”. The correct Results subsection of the abstract
should have been “Among 151 patients, 27.2% reported
inefectiveness of transdermal fentanyl. Logistic regression
identifed key factors of NRS, transdermal fentanyl dosage,
BMI, and ALT. Among the nine models, RF Model 8
exhibited the best performance, achieving a ROC-AUC
of 0.984 (95% CI: [0.968, 0.999]). This performance was
further validated by the confusion matrix metrics and
visualization results. The SHAP analysis highlighted BMI,
lower doses, NRS, and ALT as predictors of transdermal
fentanyl inefectiveness”.
语种：
外文
PubmedID：
中科院(CAS)分区：
出版当年[2025]版：
大类|3 区医学
小类|3 区药学
最新[2025]版：
大类|3 区医学
小类|3 区药学
第一作者：
第一作者机构：[1]Department of Pharmacy, Chongqing Jiulongpo People’s Hospital, Chongqing, China
通讯作者：
推荐引用方式(GB/T 7714)：
Hu Xiaogang,Chen Ya,Tang Yuelu,et al.Correction: Developing a machine learning-based predictive model for the analgesic effectiveness of transdermal fentanyl in cancer patients: an interpretable approach[J].International Journal Of Clinical Pharmacy.2025,doi:10.1007/s11096-025-01921-3.
APA：
Hu Xiaogang,Chen Ya,Tang Yuelu,Wang Xiaoxiao,Li Lixian...&Chen Wanyi.(2025).Correction: Developing a machine learning-based predictive model for the analgesic effectiveness of transdermal fentanyl in cancer patients: an interpretable approach.International Journal Of Clinical Pharmacy,,
MLA：
Hu Xiaogang,et al."Correction: Developing a machine learning-based predictive model for the analgesic effectiveness of transdermal fentanyl in cancer patients: an interpretable approach".International Journal Of Clinical Pharmacy .(2025)
