ArticleCancer medicine2024
Prediction of early-onset colorectal cancer mortality rates in the United States using machine learning.
Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Early-Onset Colorectal Cancer: Clinical and Molecular Features with Emerging Insights from Comprehensive Genomic Profiling.Oncology and therapy · 2026Review
- Trends and projections in cause-specific mortality among patients with colorectal cancer in the United States, 1999-2040.Frontiers in public health · 2026Article
- Secondary peritoneal and retroperitoneal malignancies in the elderly: trends and disparities (1999-2022) with forecasts to 2035 from a national study.Cancer causes & control : CCC · 2025Article
- Declining Myocarditis Mortality in the United States and the Impact of the COVID-19 Pandemic.Journal of clinical medicine · 2025Article
- Time series forecasting of red blood cell demand in hematology patients using SARIMA and exponential smoothing models: a retrospective analysis in a Chinese tertiary hospital.Frontiers in medicine · 2025Article
- Prediction of early-onset colorectal cancer mortality rates in the United States using machine learning.Cancer medicine · 2024Article
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe current study, focusing on a significant US (United States) colorectal cancer (CRC) burden, employs machine learning for predicting future rates among young population.
methodsCDC WONDER data from 1999 to 2022 was analyzed for CRC-related mortality in patients younger than 56 years. Temporal trends in age-adjusted mortality rates (AAMRs) were assessed via Joinpoint software. Future mortality rates were forecasted using an optimal Autoregressive Integrated Moving Average (ARIMA) model.
resultsFrom 1999 to 2022, we observed 150,908 deaths with CRC listed as the underlying cause, predominantly in males, with an upward trend in AAMR. The ARIMA model projects an increase in CRC mortality by 2035, estimating an average annual percent change (AAPC) of 1.3% overall, 1% for females, and 1.5% for males.
conclusionOur study findings emphasize the need for more robust preventive measures to reduce future CRC mortality among younger population. These results have significant implications for public health policies, particularly for males under 56, and underscore the importance of early screening and lifestyle modifications.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.