Acquisition, Analysis, and Sharing of Data in 2015 and Beyond: A Survey of the Landscape-Reference-Cited by-同舟云学术

Acquisition, Analysis, and Sharing of Data in 2015 and Beyond: A Survey of the Landscape

Published:2015-10-29 Issue:11 Volume:4 Page:
ISSN:2047-9980
Container-title:Journal of the American Heart Association
language:en
Short-container-title:JAHA

Author:

Antman Elliott M.,Benjamin Emelia J.,Harrington Robert A.,Houser Steven R.,Peterson Eric D.,Bauman Mary Ann,Brown Nancy,Bufalino Vincent,Califf Robert M.,Creager Mark A.,Daugherty Alan,Demets David L.,Dennis Bernard P.,Ebadollahi Shahram,Jessup Mariell,Lauer Michael S.,Lo Bernard,MacRae Calum A.,McConnell Michael V.,McCray Alexa T.,Mello Michelle M.,Mueller Eric,Newburger Jane W.,Okun Sally,Packer Milton,Philippakis Anthony,Ping Peipei,Prasoon Prad,Roger Véronique L.,Singer Steve,Temple Robert,Turner Melanie B.,Vigilante Kevin,Warner John,Wayte Patrick,

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

Reference110 articles.

1. Finding the missing link for big biomedical data;Weber GM;JAMA,2014

2. Precision Medicine — Personalized, Problematic, and Promising

3. Federalist principles for healthcare data networks

4. Population and Personalized Medicine in the Modern Era

5. Seven Questions for Personalized Medicine

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