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pro vyhledávání: '"59"'
Autor:
Samuel S. Gidding, H. Lester Kirchner, Andrew Brangan, William Howard, Melissa A. Kelly, Kelly D. Myers, Kelly M. Morgan, Matthew T. Oetjens, Timothy C. Shuey, David Staszak, Natasha T. Strande, Nicole L. Walters, Kristen D. Yu, Katherine A. Wilemon, Marc S. Williams, Amy C. Sturm, Laney K. Jones
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 12, Iss 13 (2023)
Background Data mining of electronic health records to identify patients suspected of familial hypercholesterolemia (FH) has been limited by absence of both phenotypic and genomic data in the same cohort. Methods and Results Using the Geisinger MyCod
Externí odkaz:
https://doaj.org/article/05b8f792bfdd43bc923992cd079ffc47
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 11, Iss 1 (2022)
Background Nonalcoholic fatty liver disease (NAFLD) is the most prevalent liver disease worldwide. Cardiovascular disease (CVD) is the leading cause of mortality among patients with NAFLD. The aim of our study was to develop a machine learning algori
Externí odkaz:
https://doaj.org/article/0c6e2f740c264dd49affcf15f9369ac7