Cargando…
Stratifying Ovarian Cancer Risk Using Personal Health Data
Purpose: Screening the general population for ovarian cancer is not recommended by every major medical or public health organization because the harms from screening outweigh the benefit it provides. To improve ovarian cancer detection and survival many are looking at high-risk populations who would...
Autores principales: | Hart, Gregory R., Nartowt, Bradley J., Muhammad, Wazir, Liang, Ying, Huang, Gloria S., Deng, Jun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931902/ https://www.ncbi.nlm.nih.gov/pubmed/33693347 http://dx.doi.org/10.3389/fdata.2019.00024 |
Ejemplares similares
-
Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification
por: Nartowt, Bradley J., et al.
Publicado: (2020) -
Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data
por: Nartowt, Bradley J., et al.
Publicado: (2019) -
The Influence of Personal Health Data on the Health Coaching Process
por: Rutjes, Heleen, et al.
Publicado: (2022) -
A multimodal clinical data resource for personalized risk assessment of sudden unexpected death in epilepsy
por: Li, Xiaojin, et al.
Publicado: (2022) -
Editorial: Big Data Analytics for Precision Health and Prevention
por: Capobianco, Enrico, et al.
Publicado: (2022)