2024
DOI: 10.3390/cancers16091645
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Clinical Prediction Models for Prognosis of Colorectal Liver Metastases: A Comprehensive Review of Regression-Based and Machine Learning Models

Stamatios Kokkinakis,
Ioannis A. Ziogas,
Jose D. Llaque Salazar
et al.

Abstract: Colorectal liver metastasis (CRLM) is a disease entity that warrants special attention due to its high frequency and potential curability. Identification of “high-risk” patients is increasingly popular for risk stratification and personalization of the management pathway. Traditional regression-based methods have been used to derive prediction models for these patients, and lately, focus has shifted to artificial intelligence-based models, with employment of variable supervised and unsupervised techniques. Mul… Show more

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“…In colorectal cancer, machine learning models have been used to predict the risk of metastasis and to guide the use of adjuvant chemotherapy. These models consider factors such as tumor stage, lymph node involvement, and molecular markers [ 36 , 37 , 38 , 39 ].…”
Section: Discussionmentioning
confidence: 99%
“…In colorectal cancer, machine learning models have been used to predict the risk of metastasis and to guide the use of adjuvant chemotherapy. These models consider factors such as tumor stage, lymph node involvement, and molecular markers [ 36 , 37 , 38 , 39 ].…”
Section: Discussionmentioning
confidence: 99%