Cargando…
Machine learning and atherosclerotic cardiovascular disease risk prediction in a multi-ethnic population
The pooled cohort equations (PCE) predict atherosclerotic cardiovascular disease (ASCVD) risk in patients with characteristics within prespecified ranges and has uncertain performance among Asians or Hispanics. It is unknown if machine learning (ML) models can improve ASCVD risk prediction across br...
Autores principales: | Ward, Andrew, Sarraju, Ashish, Chung, Sukyung, Li, Jiang, Harrington, Robert, Heidenreich, Paul, Palaniappan, Latha, Scheinker, David, Rodriguez, Fatima |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511400/ https://www.ncbi.nlm.nih.gov/pubmed/33043149 http://dx.doi.org/10.1038/s41746-020-00331-1 |
Ejemplares similares
-
Machine learning approaches improve risk stratification for secondary cardiovascular disease prevention in multiethnic patients
por: Sarraju, Ashish, et al.
Publicado: (2021) -
Personalizing cholesterol treatment recommendations for primary cardiovascular disease prevention
por: Sarraju, Ashish, et al.
Publicado: (2022) -
Atherosclerotic Cardiovascular Disease Risk Prediction in Disaggregated Asian and Hispanic Subgroups Using Electronic Health Records
por: Rodriguez, Fatima, et al.
Publicado: (2019) -
Racial and Ethnic Group Underrepresentation in Studies of Adverse Pregnancy Outcomes and Cardiovascular Risk
por: Gomez, Sofia E., et al.
Publicado: (2022) -
The association between Asian patient race/ethnicity and lower satisfaction scores
por: Liao, Lillian, et al.
Publicado: (2020)