Cargando…
Personalized Modeling for Prediction with Decision-Path Models
Deriving predictive models in medicine typically relies on a population approach where a single model is developed from a dataset of individuals. In this paper we describe and evaluate a personalized approach in which we construct a new type of decision tree model called decision-path model that tak...
Autores principales: | Visweswaran, Shyam, Ferreira, Antonio, Ribeiro, Guilherme A., Oliveira, Alexandre C., Cooper, Gregory F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4476684/ https://www.ncbi.nlm.nih.gov/pubmed/26098570 http://dx.doi.org/10.1371/journal.pone.0131022 |
Ejemplares similares
-
Selective Model Averaging with Bayesian Rule Learning for Predictive Biomedicine
por: Balasubramanian, Jeya B., et al.
Publicado: (2014) -
Bayesian network models with decision tree analysis for management of childhood malaria in Malawi
por: Taneja, Sanya B., et al.
Publicado: (2021) -
Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR
por: King, Andrew J., et al.
Publicado: (2017) -
Detection of Patients with Influenza Syndrome Using Machine-Learning Models Learned from Emergency Department Reports
por: Pineda, Arturo López, et al.
Publicado: (2013) -
Evaluation of eye tracking for a decision support application
por: Visweswaran, Shyam, et al.
Publicado: (2021)