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Title:          Machine learning methodologies versus cardiovascular risk scores, in predicting disease risk
Subject:        BMC Medical Research Methodology, 2018, doi:10.1186/s12874-018-0644-1
Keywords:       Cardiovascular disease,Risk prediction,Machine learning,Model performance
Author:         Alexandros C. Dimopoulos
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     Item: 
      Title: Abstract
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      Children: 
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        Title: Background
        Destination: sectionASec1
       Item: 
        Title: Methods
        Destination: sectionASec2
       Item: 
        Title: Results
        Destination: sectionASec3
       Item: 
        Title: Conclusions
        Destination: sectionASec4
     Item: 
      Title: Background
      Destination: sectionSec1
     Item: 
      Title: Methods
      Destination: sectionSec2
      Children: 
       Item: 
        Title: The ATTICA study cohort
        Destination: sectionSec3
       Item: 
        Title: Statistical approach for CVD risk assessment: the HellenicSCORE
        Destination: sectionSec4
       Item: 
        Title: Machine learning methodologies for CVD risk assessment
        Destination: sectionSec5
       Item: 
        Title: Comparisons between ML approaches vs. HellenicSCORE on 10-year CVD risk
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     Item: 
      Title: Results
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     Item: 
      Title: Discussion
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     Item: 
      Title: Conclusions
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     Item: 
      Title: Abbreviations
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      Title: Acknowledgements
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     Item: 
      Title: Funding
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     Item: 
      Title: Availability of data and materials
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     Item: 
      Title: Disclaimer
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      Title: Authors’ contributions
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     Item: 
      Title: Authors’ information
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      Title: Ethics approval and consent to participate
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     Item: 
      Title: Competing interests
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      Title: Publisher’s Note
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     Item: 
      Title: Author details
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     Item: 
      Title: References
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