Predictive risk modelling under different data access scenarios: who is identified as high risk and for how long?

OBJECTIVE: This observational study critically explored the performance of different predictive risk models simulating three data access scenarios, comparing: (1) sociodemographic and clinical profiles; (2) consistency in high-risk designation across models; and (3) persistence of high-risk status o...

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Detalles Bibliográficos
Autores principales: Johnson, Tracy L, Kaldor, Jill, Falster, Michael O, Sutherland, Kim, Humphries, Jacob, Jorm, Louisa R, Levesque, Jean-Frederic
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Health Informatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855362/
http://dx.doi.org/10.1136/bmjopen-2017-018909

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855362/
http://dx.doi.org/10.1136/bmjopen-2017-018909

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