Cargando…
Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence
Incidence and mortality rates of endometrial cancer are increasing, leading to increased interest in endometrial cancer risk prediction and stratification to help in screening and prevention. Previous risk models have had moderate success with the area under the curve (AUC) ranging from 0.68 to 0.77...
Autores principales: | Hart, Gregory R., Yan, Vanessa, Huang, Gloria S., Liang, Ying, Nartowt, Bradley J., Muhammad, Wazir, Deng, Jun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861326/ https://www.ncbi.nlm.nih.gov/pubmed/33733200 http://dx.doi.org/10.3389/frai.2020.539879 |
Ejemplares similares
-
Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification
por: Nartowt, Bradley J., et al.
Publicado: (2020) -
Stratifying Ovarian Cancer Risk Using Personal Health Data
por: Hart, Gregory R., et al.
Publicado: (2019) -
Statistical biopsy: An emerging screening approach for early detection of cancers
por: Hart, Gregory R., et al.
Publicado: (2023) -
Pancreatic Cancer Prediction Through an Artificial Neural Network
por: Muhammad, Wazir, et al.
Publicado: (2019) -
Lung Nodule Detection via Deep Reinforcement Learning
por: Ali, Issa, et al.
Publicado: (2018)