Genevieve Lyons - Dissemin

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All papers authored by Genevieve Lyons

This paper is made freely available by the publisher.

2022 Michael Elgart

ORCID

, Paul de Vries, Genevieve Lyons

ORCID

, Santiago Romero-Brufau, Nuzulul Kurniansyah, Jennifer A. Brody, Xiuqing Guo, Henry J. Lin, Laura Raffield, Yan Gao, Han Chen, Donald M. Lloyd Jones, Leslie A. Lange, Gina M. Peloso, Myriam Fornage and 7 other authors

Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations

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This paper is made freely available by the publisher.

2021 Abhishaike Mahajan

ORCID

, Andrew Deonarine

ORCID

ORCID

, Genevieve Lyons

ORCID

ORCID

Developing the Total Health Profile, a Generalizable Unified Set of Multimorbidity Risk Scores Derived From Machine Learning for Broad Patient Populations: Retrospective Cohort Study

Download from doi.org

This paper was not found in any repository, but could be made available legally by the author.

Shruthi Mahalingaiah

ORCID

, Victoria Fruh, Erika Rodriguez

ORCID

, Sai Charan Konanki, Jukka-Pekka Onnela, Alexis de Figueiredo Veiga

ORCID

, Genevieve Lyons

ORCID

, Rowana Ahmed, Huichu Li, Nicola Gallagher

ORCID

, Anne Marie Z. Jukic

ORCID

, Kelly K. Ferguson, Donna D. Baird

ORCID

, Allen J. Wilcox

ORCID

, Christine L. Curry

ORCID

and 6 other authors

Design and methods of the Apple Women’s Health Study: a digital longitudinal cohort study

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This paper is made freely available by the publisher.

Andrew Deonarine

ORCID

, Genevieve Lyons

ORCID

, Chirag Lakhani

ORCID

, Walter De Brouwer

ORCID

Identifying Communities at Risk for COVID-19–Related Burden Across 500 US Cities and Within New York City: Unsupervised Learning of the Coprevalence of Health Indicators

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

Abhishaike Mahajan, Andrew Deonarine, Axel Bernal, Genevieve Lyons

ORCID

, Beau Norgeot

Developing the Total Health Profile, a Generalizable Unified Set of Multimorbidity Risk Scores Derived From Machine Learning for Broad Patient Populations: Retrospective Cohort Study (Preprint)

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

2020 Andrew Deonarine, Genevieve Lyons

ORCID

, Chirag Lakhani, Walter De Brouwer

Identifying Communities at Risk for COVID-19–Related Burden Across 500 US Cities and Within New York City: Unsupervised Learning of the Coprevalence of Health Indicators (Preprint)

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