Article

Prediction of Distant Metastasis of Colorectal Cancer by Machine Learning Modeling: a Retrospective Study

2025-03-03

Abstract excerpt

<title>Abstract</title> <p>Objective This study aims to establish a machine learning (ML) model for predicting the risk of distant metastasis in colorectal cancer (CRC). Methods The pathological data of 104436 patients (2858 of them coming from China) diagnosed with colorectal cancer (denoted as CRC) in the United States of America between years 2010 and 2021 were extracted from the Surveillance, Epidemiology,...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a03984ac-5373-5537-bfc9-c59b463e84a9
DOI: 10.21203/rs.3.rs-6097282/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Prediction of Distant Metastasis of Colorectal Cancer by Machine Learning Modeling: a Retrospective StudyDOI 10.21203/rs.3.rs-6097282/v1Read

Machine learning models for predicting lymph node and distant metastases in colorectal cancerSemantic proximity Read

Machine Learning-Based Classifiers To Predict Metastasis In Colorectal Cancer PatientsSemantic proximity Read

A novel and interpretable risk model for predicting distant metastasis in appendiceal malignant neoplasms: A retrospective study based on the SEER databaseSemantic proximity Read

Establishment and Validation of a Macrophage-Related Model for Predicting Synchronous Distant Metastasis of Colorectal CancerSemantic proximity Read

Machine Learning-Based Survival Time Prediction in Colorectal Cancer with Peritoneal Metastasis: A Multi-Institutional Registry-Based StudySemantic proximity Read

Identifying metastatic biomarkers of colorectal cancer: Machine learning modeling and experimental validationSemantic proximity Read

Development of a metastasis-related genes prognostic model for colorectal cancerSemantic proximity Read

Development and validation of a machine learning-based model incorporating systemic inflammatory, nutritional, and coagulation parameters for predicting metastasis in lung cancerSemantic proximity Read

Predicting Survival Outcome of Patients With Colorectal Cancer and Only Lung Metastasis: A Population-Based Real-World StudySemantic proximity Read

A radiomics and genomics-derived model for predicting metastasis and prognosis in colorectal cancerSemantic proximity Read

[Development and validation of a multicenter nomogram predicting the risk of liver metastasis after curative resection of colorectal cancer].Semantic proximity Read

Deep learning radiomics model related with genomics phenotypes for lymph node metastasis prediction in colorectal cancer.Semantic proximity Read