Research graph
References from Research on prognostic prediction of colorectal cancer based on multi-dimensional biomarker features and machine learning models. Local targets link to admitted publications; unresolved targets remain external evidence.
Present situation and prospect of diagnosis and treatment of colorectal cancer
10.1007/978-94-017-7755-1_1 · 2017 · External reference
Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
10.3322/caac.21660 · 2021 · External reference
Cancer statistics in China and United States, 2022: profiles, trends, and determinants
10.1097/cm9.0000000000002108 · 2022 · External reference
Rising incidence of early-onset colorectal cancer - a call to action
10.1038/s41571-020-00445-1 · 2021 · External reference
Clinical characteristics and survival analysis of colorectal cancer in China: a retrospective cohort study with 13,328 patients from southern China
10.1093/gastro/goab048 · 2021 · External reference
Stage IV colorectal cancer management and treatment
10.3390/jcm12052072 · 2023 · External reference
Clinical study of colorectal cancer operation: Survival analysis
10.14216/kjco.20002 · 2020 · External reference
The eighth edition AJCC cancer staging manual: Continuing to build a bridge from a population‐based to a more “personalized” approach to cancer staging
10.3322/caac.21388 · 2017 · External reference
From tumour heterogeneity to advances in precision treatment of colorectal cancer
10.1038/nrclinonc.2016.171 · 2017 · External reference
Early detection of molecular residual disease and risk stratification for stage I to III colorectal cancer via circulating tumor DNA methylation
10.1001/jamaoncol.2023.0425 · 2023 · External reference
Identification of prognostic biomarkers in colorectal cancer through multi-omics profiling of programmed cell death pathways
10.21037/jgo-2024-861 · 2025 · External reference
Prognostic role of neutrophil-to-lymphocyte ratio in colorectal cancer: A systematic review and meta-analysis: Neutrophil-to-lymphocyte ratio in colorectal cancer
10.1002/ijc.28536 · 2014 · External reference
Combined preoperative platelet-albumin ratio and cancer inflammation prognostic index predicts prognosis in colorectal cancer: a retrospective study
10.1038/s41598-025-15309-w · 2025 · External reference
The prognostic role of inflammation-based hematologic markers in stage I-III colorectal cancer: a retrospective analysis
10.1186/s12885-025-15165-x · 2025 · External reference
Serum nutritional predictive biomarkers and risk assessment for anastomotic leakage after laparoscopic surgery in rectal cancer patients
10.4240/wjgs.v16.i10.3142 · 2024 · External reference
Development of a machine learning-derived programmed cell death index for prognostic prediction and immune insights in colorectal cancer
10.1007/s12672-025-02323-7 · 2025 · External reference
Prediction of 5-year postoperative survival and analysis of key prognostic factors in stage III colorectal cancer patients using novel machine learning algorithms
10.3389/fonc.2025.1604386 · 2025 · External reference
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
10.1136/bmj.g7594 · 2015 · External reference
MIMIC-IV, a freely accessible electronic health record dataset
10.1038/s41597-022-01899-x · 2023 · External reference
Multiple imputation using chained equations: Issues and guidance for practice
10.1002/sim.4067 · 2011 · External reference
Feature selection with the Boruta package
10.18637/jss.v036.i11 · 2010 · External reference
Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
10.1002/(sici)1097-0258(19960229)15:4<361::aid-sim168>3.0.co;2-4 · 1996 · External reference
Decision curve analysis: A novel method for evaluating prediction models
10.1177/0272989x06295361 · 2006 · External reference
A unified approach to interpreting model predictions
2017 · External reference
Random survival forests
10.1214/08-aoas169 · 2008 · External reference
Risk factors affecting patients survival with colorectal cancer in Morocco: survival analysis using an interpretable machine learning approach
10.1038/s41598-024-51304-3 · 2024 · External reference
A tree ensemble-based two-stage model for advanced-stage colorectal cancer survival prediction
10.1016/j.ins.2018.09.046 · 2019 · External reference
shiny: Web application framework for R
10.32614/cran.package.shiny · 2024 · External reference
Disease burden and trend prediction of colorectal cancer attributable to high BMI in China
10.3969/j.issn.1006-2483.2025.02.001 · 2025 · External reference
Personalized prediction of postoperative complication and survival among colorectal liver metastases patients receiving simultaneous resection using machine learning approaches: a multi-center study
10.1016/j.canlet.2024.216967 · 2024 · External reference
A novel computational framework for integrating multidimensional data to enhance accuracy in predicting the prognosis of colorectal cancer
10.1002/mef2.27 · 2022 · External reference
A machine-learning prognostic model for colorectal cancer using a complement-related risk signature
10.32604/or.2025.066193 · 2025 · External reference
CpG-biomarkers in tumor tissue and prediction models for the survival of colorectal cancer: a systematic review and external validation study
10.1016/j.critrevonc.2023.104199 · 2024 · External reference
From local explanations to global understanding with explainable AI for trees
10.1038/s42256-019-0138-9 · 2020 · External reference
Enhancing metastatic colorectal cancer prediction through advanced feature selection and machine learning techniques
10.1016/j.intimp.2024.113033 · 2024 · External reference
