Risk predictive modelling for diabetes and cardiovascular disease.
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Effects of Different Missing Data Imputation Techniques on the Performance of Undiagnosed Diabetes Risk Prediction Models in a Mixed-Ancestry Population of South AfricaReporting and handling of missing data in predictive research for prevalent undiagnosed type 2 diabetes mellitus: a systematic reviewIndependent external validation and comparison of prevalent diabetes risk prediction models in a mixed-ancestry population of South Africa.Validation of two prediction models of undiagnosed chronic kidney disease in mixed-ancestry South Africans.Development and validation of a prognostic score during tuberculosis treatment.Metabolomic signature of arterial stiffness in male patients with peripheral arterial disease.
P2860
Risk predictive modelling for diabetes and cardiovascular disease.
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article scientifique
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articolo scientifico
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Risk predictive modelling for diabetes and cardiovascular disease.
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Risk predictive modelling for diabetes and cardiovascular disease.
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Risk predictive modelling for diabetes and cardiovascular disease.
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P2093
P2860
P1476
Risk predictive modelling for diabetes and cardiovascular disease.
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P2093
Alain Lekoubou
Justin Basile Echouffo-Tcheugui
Katya Masconi
Vivian Nchanchou Mbanya
P2860
P356
10.3109/10408363.2013.853025
P577
2013-12-04T00:00:00Z