Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study.

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Title: Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study.
Authors: Machado-Fragua, Marcos D.1 (AUTHOR) marcos.machado@inserm.fr, Landré, Benjamin1 (AUTHOR), Chen, Mathilde1 (AUTHOR), Fayosse, Aurore1 (AUTHOR), Dugravot, Aline1 (AUTHOR), Kivimaki, Mika2 (AUTHOR), Sabia, Séverine1,2 (AUTHOR), Singh-Manoux, Archana1,2 (AUTHOR)
Source: BMC Medicine. 9/27/2022, Vol. 20 Issue 1, p1-12. 12p.
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  Data: Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study.
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  Data: <searchLink fieldCode="AR" term="%22Machado-Fragua%2C+Marcos+D%2E%22">Machado-Fragua, Marcos D.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> marcos.machado@inserm.fr</i><br /><searchLink fieldCode="AR" term="%22Landré%2C+Benjamin%22">Landré, Benjamin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Mathilde%22">Chen, Mathilde</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fayosse%2C+Aurore%22">Fayosse, Aurore</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dugravot%2C+Aline%22">Dugravot, Aline</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kivimaki%2C+Mika%22">Kivimaki, Mika</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sabia%2C+Séverine%22">Sabia, Séverine</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Singh-Manoux%2C+Archana%22">Singh-Manoux, Archana</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22BMC+Medicine%22">BMC Medicine</searchLink>. 9/27/2022, Vol. 20 Issue 1, p1-12. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=159322936
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        Value: 10.1186/s12916-022-02519-6
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        Text: English
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              Text: 9/27/2022
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