Cargando…
Diagnostic Accuracy of Different Machine Learning Algorithms for Breast Cancer Risk Calculation: a Meta-Analysis
OBJECTIVE: The aim of this study was to determine the diagnostic accuracy of different machine learning algorithms for breast cancer risk calculation. METHODS: A meta-analysis was conducted of published research articles on diagnostic test accuracy of different machine learning algorithms for breast...
Autores principales: | Nindrea, Ricvan Dana, Aryandono, Teguh, Lazuardi, Lutfan, Dwiprahasto, Iwan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
West Asia Organization for Cancer Prevention
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165638/ https://www.ncbi.nlm.nih.gov/pubmed/30049182 http://dx.doi.org/10.22034/APJCP.2018.19.7.1747 |
Ejemplares similares
-
Family History of Breast Cancer and Breast Cancer Risk between Malays Ethnicity in Malaysia and Indonesia: A Meta-Analysis
por: NINDREA, Ricvan Dana, et al.
Publicado: (2019) -
Association of Overweight and Obesity with Breast Cancer During Premenopausal Period in Asia: A Meta-Analysis
por: Nindrea, Ricvan Dana, et al.
Publicado: (2019) -
Protective Effect of Omega-3 Fatty Acids in Fish Consumption Against Breast Cancer in Asian Patients: A Meta-Analysis
por: Nindrea, Ricvan Dana, et al.
Publicado: (2019) -
Association of Dietary Intake Ratio of n-3/n-6 Polyunsaturated Fatty Acids with Breast Cancer Risk in Western and Asian Countries: A Meta-Analysis
por: Nindrea, Ricvan Dana, et al.
Publicado: (2019) -
Breast Cancer Risk From Modifiable and Non-Modifiable Risk Factors among Women in Southeast Asia: A Meta-Analysis
por: Nindrea, Ricvan Dana, et al.
Publicado: (2017)