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References from Prediction of overall survival in primary lung adenocarcinoma using machine learning and deep learning: a cohort study in Latin America country cancer center. Local targets link to admitted publications; unresolved targets remain external evidence.
Mapping of global, regional and national incidence, mortality and mortality-to-incidence ratio of lung cancer in 2020 and 2050
10.1007/s10147-021-02108-2 · 2022 · 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
Risk factors for the development of lung cancer among never smokers: A systematic review
10.1016/j.canep.2022.102274 · 2022 · External reference
Current and future development in lung cancer diagnosis
10.3390/ijms22168661 · 2021 · External reference
Lung cancer-epidemiology, pathogenesis, treatment and molecular aspect (review of literature)
10.3390/ijms26052049 · 2025 · External reference
Non-small cell lung cancer, version 4.2024, NCCN clinical practice guidelines in oncology
10.6004/jnccn.2204.0023 · 2024 · External reference
Prognostic factors and predictive model construction in patients with non-small cell lung cancer: a retrospective study
10.3389/fonc.2024.1378135 · 2024 · External reference
Prognostic and predictive factors for lung cancer
10.1183/20734735.006911 · 2012 · External reference
Lung cancer prognostic index: a risk score to predict overall survival after the diagnosis of non-small-cell lung cancer
10.1038/bjc.2017.232 · 2017 · External reference
Prognostic factors for survival in patients with metastatic lung adenocarcinoma: An analysis of the SEER database
10.1111/1759-7714.13681 · 2020 · External reference
Actionable mutations and targeted therapy in non-small cell lung cancer among Latin American and Hispanic patients: a systematic literature review of prognosis and meta-analysis
10.21037/tlcr-2025-99 · 2025 · External reference
Survival analysis with Cox proportional hazards model in predicting patient outcomes
2024 · External reference
Survival analysis part I: basic concepts and first analyses
10.1038/sj.bjc.6601118 · 2003 · External reference
The application and comparison of machine learning models for the prediction of breast cancer prognosis: retrospective cohort study
10.2196/33440 · 2022 · External reference
Survival analysis for lung cancer patients: A comparison of Cox regression and machine learning models
10.1016/j.ijmedinf.2024.105607 · 2024 · External reference
A systematic review on machine learning techniques for survival analysis in cancer
10.1002/cam4.71375 · 2025 · External reference
Machine learning and deep learning in lung cancer diagnostics: A systematic review of technical breakthroughs, clinical barriers, and ethical imperatives
10.3390/ai7010023 · 2026 · External reference
A systematic review on machine learning and deep learning techniques in cancer survival prediction
10.1016/j.pbiomolbio.2022.07.004 · 2022 · External reference
Revolutionizing oncology through ai: addressing cancer disparities by improving screening, treatment, and survival outcomes via integration of social determinants of health
10.3390/cancers17172866 · 2025 · External reference
DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
10.1186/s12874-018-0482-1 · 2018 · External reference
Genetic ancestry and lung cancer in Latin American patients: A crucial step for understanding a diverse population
10.1016/j.cllc.2025.03.004 · 2025 · External reference
Prevalence of oncogenic driver mutations in Hispanics/Latin patients with lung cancer. A systematic review and meta-analysis
10.1016/j.lungcan.2023.107378 · 2023 · External reference
PD-L1 expression in non-small cell lung carcinoma in Latin America: a systematic review and meta-analysis
10.21037/tlcr-24-223 · 2024 · External reference
The health of Hispanics in the southwestern United States: an epidemiologic paradox
1986 · External reference
Socioeconomic deprivation as a determinant of cancer mortality and the Hispanic paradox in Texas, USA
10.1186/1475-9276-12-26 · 2013 · External reference
How do social factors explain outcomes in non-small-cell lung cancer among Hispanics in California? Explaining the Hispanic paradox
10.1200/jco.2012.48.6217 · 2013 · External reference
A review of the Hispanic paradox: time to spill the beans
10.1183/09059180.00000814 · 2014 · External reference
Survival analysis of patients with non-small cell lung cancer treated at the National Cancer Institute of Colombia between 2018 and 2022
2024 · External reference
Characteristics of patients with non-small cell lung cancer at the National Cancer Institute of Colombia
10.35509/01239015.706 · 2021 · External reference
Artificial intelligence predictive system of individual survival rate for lung adenocarcinoma
10.1016/j.csbj.2022.05.005 · 2022 · External reference
Prediction of survival rate from non-small cell lung cancer using improved random forest
10.1109/icict48043.2020.9112558 · 2020 · External reference
Multivariate imputation by chained equations
10.18637/jss.v045.i03 · 2019 · External reference
A benchmark study on the comparative advantage of random survival forest analysis in lung cancer survival predictions
10.56726/irjmets51116 · External reference
Improved nonparametric survival prediction using CoxPH, random survival forest & DeepHit neural network
10.1186/s12911-024-02525-z · 2024 · External reference
Development and validation of a deep learning model for non-small cell lung cancer survival
10.1001/jamanetworkopen.2020.5842 · 2020 · External reference
Lung cancer survival prediction using machine learning and statistical methods
2025 · External reference
Explainable deep learning-based survival prediction for non-small cell lung cancer patients undergoing radical radiotherapy
10.1016/j.radonc.2024.110084 · 2024 · External reference
A deep learning approach for overall survival prediction in lung cancer with missing values
10.1016/j.cmpb.2024.108308 · 2024 · External reference
Deep learning for survival analysis: a review
10.1007/s10462-023-10681-3 · 2024 · External reference
Why do tree-based models still outperform deep learning on typical tabular data
10.52202/068431-0037 · 2022 · External reference
Propensity score methods in observational research: brief review and guide for authors
10.1016/j.bja.2023.06.054 · 2023 · External reference
Restricted mean survival time for survival analysis: a quick guide for clinical researchers
10.3348/kjr.2022.0061 · 2022 · External reference
Survival outcomes of metastatic non-small cell lung cancer patients with limited access to immunotherapy and targeted therapy in a cancer center of a low-and middle
10.1177/10732748231189785 · 2023 · External reference
