A patient-driven adaptive prediction technique to improve personalized risk estimation for clinical decision support

OBJECTIVE: Competing tools are available online to assess the risk of developing certain conditions of interest, such as cardiovascular disease. While predictive models have been developed and validated on data from cohort studies, little attention has been paid to ensure the reliability of such pre...

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Detalles Bibliográficos
Autores principales: Jiang, Xiaoqian, Boxwala, Aziz A, El-Kareh, Robert, Kim, Jihoon, Ohno-Machado, Lucila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2012
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3392846/
https://www.ncbi.nlm.nih.gov/pubmed/22493049
http://dx.doi.org/10.1136/amiajnl-2011-000751

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3392846/
https://www.ncbi.nlm.nih.gov/pubmed/22493049
http://dx.doi.org/10.1136/amiajnl-2011-000751

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