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Risk Assessment of Liver Metastasis in Pancreatic Cancer Patients Using Multiple Models Based on Machine Learning: A Large Population-Based Study.
Qinggang Li
Lu Bai
Jiyuan Xing
Xiaorui Liu
Dan Liu
Xiaobo Hu
Published in:
Disease markers (2022)
In this study, the RF model constructed could accurately predict the risk of LM in PC patients, which has the potential to provide clinicians with more personalized clinical decision-making recommendations.
Keyphrases
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end stage renal disease
machine learning
risk assessment
ejection fraction
chronic kidney disease
newly diagnosed
decision making
prognostic factors
artificial intelligence
patient reported
big data
clinical practice
climate change