Cargando…
Evaluation of algorithms using administrative health and structured electronic medical record data to determine breast and colorectal cancer recurrence in a Canadian province: Using algorithms to determine breast and colorectal cancer recurrence
BACKGROUND: Algorithms that use administrative health and electronic medical record (EMR) data to determine cancer recurrence have the potential to replace chart reviews. This study evaluated algorithms to determine breast and colorectal cancer recurrence in a Canadian province with a universal heal...
Autores principales: | Lambert, Pascal, Pitz, Marshall, Singh, Harminder, Decker, Kathleen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8252227/ https://www.ncbi.nlm.nih.gov/pubmed/34210266 http://dx.doi.org/10.1186/s12885-021-08526-9 |
Ejemplares similares
-
Machine Learning Algorithms to Predict Breast Cancer Recurrence Using Structured and Unstructured Sources from Electronic Health Records
por: González-Castro, Lorena, et al.
Publicado: (2023) -
Evaluating the impact of the COVID-19 pandemic on cancer screening in a central Canadian province
por: Decker, Kathleen M., et al.
Publicado: (2022) -
Development of a Gene-Based Prediction Model for Recurrence of Colorectal Cancer Using an Ensemble Learning Algorithm
por: Chan, Han-Ching, et al.
Publicado: (2021) -
Validation of an Algorithm to Ascertain Late Breast Cancer Recurrence Using Danish Medical Registries
por: Pedersen, Rikke Nørgaard, et al.
Publicado: (2020) -
Modeling and comparing data mining algorithms for prediction of recurrence of breast cancer
por: Mosayebi, Alireza, et al.
Publicado: (2020)