Evaluation of pre-treatment models using different machine learning algorithms.

Evaluation of pre-treatment models using different machine learning algorithms.

<p>Evaluation of pre-treatment models using different machine learning algorithms.</p>

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Bibliographic Details
Main Author: Yiran Li (1818355) (author)
Other Authors: Zonghan Liu (12521164) (author), Yi Qian (466487) (author), Kang Wang (415359) (author), Yijun Gu (16620079) (author), Yan Chen (4308) (author), Haozheng Jiang (20666265) (author), Shuqun Cheng (151531) (author), Dong Jiang (159266) (author)
Published: 2025
Subjects:
Biochemistry
Medicine
Genetics
Molecular Biology
Pharmacology
Biotechnology
Marine Biology
Cancer
Infectious Diseases
Plant Biology
Virology
unresectable hepatocellular carcinoma
combined targeted therapy
atezolizumab plus bevacizumab
separate ur models
predict treatment efficacy
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validation group
two groups
train group
therapeutic efficacy
radiomics models
particularly highlighting
model performance
effective treatment
cutoff value
assessment methods
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Summary:<p>Evaluation of pre-treatment models using different machine learning algorithms.</p>

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