Cargando…
A user-friendly objective prediction model in predicting colorectal cancer based on 234 044 Asian adults in a prospective cohort
BACKGROUND: Prediction models of colorectal cancer (CRC) had limited application for not being user-friendly. Whether fecal immunochemical tests (FITs) can help predict CRC has been overlooked. PATIENTS AND METHODS: With 1972 CRCs identified, 234 044 adults aged ≥40 years were successively enrolled...
Autores principales: | Chen, C.H., Tsai, M.K., Wen, C., Wen, C.P. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609147/ https://www.ncbi.nlm.nih.gov/pubmed/34808523 http://dx.doi.org/10.1016/j.esmoop.2021.100288 |
Ejemplares similares
-
P234: Acinetobacter infections in intensive care units in 2011
por: Gül, H, et al.
Publicado: (2013) -
Title unknown, CERN-ALEPH-96-044
por: CERN. Geneva. ALEPH
Publicado: (1996) -
A user-friendly nomogram for predicting radioiodine refractory differentiated thyroid cancer
por: Meng, Chao, et al.
Publicado: (2023) -
Object-oriented environment in C++: a user-friendly interface
por: Hu, David
Publicado: (1990) -
Machine learning analysis using 77,044 genomic and transcriptomic profiles to accurately predict tumor type
por: Abraham, Jim, et al.
Publicado: (2021)