An in silico framework for integrating epidemiologic and genetic evidence with health care applications: ventilation-related pneumothorax as a case illustration | Zendy

Yelizaveta Torosyan | Zendy; Yuzhi Hu | Zendy; Sarah R. Hoffman | Zendy; Qianlai Luo | Zendy; Bruce Carleton | Zendy; Danica MarinacDabic | Zendy

Open Access

An in silico framework for integrating epidemiologic and genetic evidence with health care applications: ventilation-related pneumothorax as a case illustration

Author(s) -

Yelizaveta Torosyan,

Yuzhi Hu,

Sarah R. Hoffman,

Qianlai Luo,

Bruce Carleton,

Danica MarinacDabic

Publication year - 2016

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocw031

Subject(s) - medicine , pneumothorax , health care , intensive care medicine , emergency medicine , database , surgery , computer science , economics , economic growth

To illustrate an in silico integration of epidemiologic and genetic evidence that is being developed at the Center for Devices and Radiological Health/US Food and Drug Administration as part of regulatory research on postmarket device performance. In addition to using conventional epidemiologic evidence from registries, this innovative approach explores the vast potential of open-access omics databases for identifying genetic evidence pertaining to devices.

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