Machine learning modelling of blood lipid biomarkers in familial hypercholesterolaemia versus polygenic/environmental dyslipidaemia


Journal article


M. Correia, Eva Kagenaar, D. V. van Schalkwijk, M. Bourbon, M. Gama-Carvalho
Scientific reports, vol. 11(1), 2021, p. 3801


Semantic Scholar DOI PubMedCentral PubMed
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APA   Click to copy
Correia, M., Kagenaar, E., van Schalkwijk, D. V., Bourbon, M., & Gama-Carvalho, M. (2021). Machine learning modelling of blood lipid biomarkers in familial hypercholesterolaemia versus polygenic/environmental dyslipidaemia. Scientific Reports, 11(1), 3801. https://doi.org/10.1038/s41598-021-83392-w


Chicago/Turabian   Click to copy
Correia, M., Eva Kagenaar, D. V. van Schalkwijk, M. Bourbon, and M. Gama-Carvalho. “Machine Learning Modelling of Blood Lipid Biomarkers in Familial Hypercholesterolaemia versus Polygenic/Environmental Dyslipidaemia.” Scientific reports 11, no. 1 (2021): 3801.


MLA   Click to copy
Correia, M., et al. “Machine Learning Modelling of Blood Lipid Biomarkers in Familial Hypercholesterolaemia versus Polygenic/Environmental Dyslipidaemia.” Scientific Reports, vol. 11, no. 1, 2021, p. 3801, doi:10.1038/s41598-021-83392-w.


BibTeX   Click to copy

@article{m2021a,
  title = {Machine learning modelling of blood lipid biomarkers in familial hypercholesterolaemia versus polygenic/environmental dyslipidaemia},
  year = {2021},
  issue = {1},
  journal = {Scientific reports},
  pages = {3801},
  volume = {11},
  doi = {10.1038/s41598-021-83392-w},
  author = {Correia, M. and Kagenaar, Eva and van Schalkwijk, D. V. and Bourbon, M. and Gama-Carvalho, M.}
}


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