Genetic factors increase the identification efficiency of predictive models for dyslipidaemia: a prospective cohort study

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  • who: Miaomiao Niu from the School of Information Engineering, Zhengzhou University, Zhengzhou, Henan, People's Republic of China have published the paper: Genetic factors increase the identification efficiency of predictive models for dyslipidaemia: a prospective cohort study, in the Journal: (JOURNAL)
  • what: The aim of this study is to develop and evaluate prediction models with and without genetic factors for dyslipidaemia in rural populations. The area under the receiver operating characteristic curve (AUC) net reclassification index (NRI) and integrated discrimination index (IDI) were used to assess the discrimination ability of the models and the calibration . . .

     

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