Cargando…
Machine Learning Models Cannot Replace Screening Colonoscopy for the Prediction of Advanced Colorectal Adenoma
Screening for colorectal cancer (CRC) continues to rely on colonoscopy and/or fecal occult blood testing since other (non-invasive) risk-stratification systems have not yet been implemented into European guidelines. In this study, we evaluate the potential of machine learning (ML) methods to predict...
Autores principales: | Semmler, Georg, Wernly, Sarah, Wernly, Bernhard, Mamandipoor, Behrooz, Bachmayer, Sebastian, Semmler, Lorenz, Aigner, Elmar, Datz, Christian, Osmani, Venet |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538127/ https://www.ncbi.nlm.nih.gov/pubmed/34683122 http://dx.doi.org/10.3390/jpm11100981 |
Ejemplares similares
-
A sex-specific propensity-adjusted analysis of colonic adenoma detection rates in a screening cohort
por: Wernly, Sarah, et al.
Publicado: (2021) -
The Association between Helicobacter pylori and Colorectal Neoplasia
por: Wernly, Sarah, et al.
Publicado: (2022) -
The association between educational status and colorectal neoplasia: results from a screening cohort
por: Wernly, Sarah, et al.
Publicado: (2023) -
Insulin resistance and central obesity determine hepatic steatosis and explain cardiovascular risk in steatotic liver disease
por: Semmler, Georg, et al.
Publicado: (2023) -
Nut consumption and the prevalence and severity of non-alcoholic fatty liver disease
por: Semmler, Georg, et al.
Publicado: (2020)