Chronic Disease Population Risk Tool (CDPoRT): a study protocol for a prediction model that assesses population-based chronic disease incidence
Abstract Background Population-based risk prediction tools exist for individual chronic diseases. From a population health perspective, studying chronic diseases together provides a comprehensive view of the burden of disease in the population. Thus, public health officials and health policymakers w...
Main Authors: | Ryan Ng, Rinku Sutradhar, Walter P. Wodchis, Laura C. Rosella |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2018-10-01
|
Series: | Diagnostic and Prognostic Research |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s41512-018-0042-5 |
Similar Items
-
The current application of the Royston-Parmar model for prognostic modeling in health research: a scoping review
by: Ryan Ng, et al.
Published: (2018-02-01) -
Archaeology of Bandiyagarh, Sirohi, Rajasthan, India
by: Priyank Talesara, et al.
Published: (2021-01-01) -
A study protocol for a predictive algorithm to assess population-based premature mortality risk: Premature Mortality Population Risk Tool (PreMPoRT)
by: Laura C. Rosella, et al.
Published: (2020-11-01) -
Poor nutrition and chronic diseases among minority populations
by: Megan Ralfe
Published: (2021-08-01) -
Effet de l'attaque sulfatique externe sur la durabilité des bétons autoplaçants
by: Khelifa, Mohammed Rissel
Published: (2009)