M
Muin J. Khoury
Researcher at Centers for Disease Control and Prevention
Publications - 523
Citations - 40286
Muin J. Khoury is an academic researcher from Centers for Disease Control and Prevention. The author has contributed to research in topics: Population & Public health. The author has an hindex of 105, co-authored 512 publications receiving 37434 citations. Previous affiliations of Muin J. Khoury include United States Department of Health and Human Services & Université de Montréal.
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Journal ArticleDOI
Prevalence and Cardiovascular Health Impact of Family History of Premature Heart Disease in the United States: Analysis of the National Health and Nutrition Examination Survey, 2007-2014.
TL;DR: Millions of people who are at high risk of having cardiovascular disease could be identified using FHPHD and can become an important component of public health campaigns that address modifiable risk factors that plan to reduce the overall risk of heart disease.
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Recurrent pregnancy loss as an indicator for increased risk of birth defects: a population-based case-control study.
Muin J. Khoury,Jd Erickson +1 more
TL;DR: Among case and control infants whose mothers had already had at least one previous pregnancy, reported pregnancy losses were associated with elevated risks of birth defects, and this finding has both clinical implications for pregnancy counselling and pathogenetic implications related to birth defect aetiology.
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An automatic method to generate domain-specific investigator networks using PubMed abstracts
TL;DR: A web-based prototype capable of creating domain-specific investigator networks based on an application that accurately generates detailed investigator profiles from PubMed abstracts combined with robust standard vocabularies is created.
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A proposed approach to accelerate evidence generation for genomic-based technologies in the context of a learning health system.
Christine Y. Lu,Marc S. Williams,Geoffrey S. Ginsburg,Sengwee Toh,Jeffrey S. Brown,Muin J. Khoury +5 more
TL;DR: This paper proposes three building blocks for rapid generation of evidence on clinical utility of promising genomic technologies that underpin clinical and policy decisions, and defines promising genomic tests as those that have proven analytical and clinical validity.