Cargando…
Latent Patient Cluster Discovery for Robust Future Forecasting and New-Patient Generalization
Commonly referred to as predictive modeling, the use of machine learning and statistical methods to improve healthcare outcomes has recently gained traction in biomedical informatics research. Given the vast opportunities enabled by large Electronic Health Records (EHR) data and powerful resources f...
Autores principales: | Qian, Ting, Masino, Aaron J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5026362/ https://www.ncbi.nlm.nih.gov/pubmed/27636203 http://dx.doi.org/10.1371/journal.pone.0162812 |
Ejemplares similares
-
Latent Model-Based Clustering for Biological Discovery
por: Bing, Xin, et al.
Publicado: (2019) -
Robustness in statistical forecasting
por: Kharin, Yuriy
Publicado: (2013) -
Cancer Subtype Discovery and Biomarker Identification via a New Robust Network Clustering Algorithm
por: Wu, Meng-Yun, et al.
Publicado: (2013) -
KMD clustering: robust general-purpose clustering of biological data
por: Zelig, Aviv, et al.
Publicado: (2023) -
Robust seismicity forecasting based on Bayesian parameter estimation for epidemiological spatio-temporal aftershock clustering models
por: Ebrahimian, Hossein, et al.
Publicado: (2017)