scholarly article | Q13442814 |
review article | Q7318358 |
P50 | author | Emelia J. Benjamin | Q28754501 |
Ramachandran S. Vasan | Q30348351 | ||
P2860 | cites work | Why most published research findings are false | Q21092395 |
Eight Americas: investigating mortality disparities across races, counties, and race-counties in the United States | Q21144705 | ||
An integrated encyclopedia of DNA elements in the human genome | Q22122150 | ||
An integrated map of genetic variation from 1,092 human genomes | Q22122153 | ||
The Spread of Obesity in a Large Social Network over 32 Years | Q22248107 | ||
Transforming Epidemiology for 21st Century Medicine and Public Health | Q24289006 | ||
Cardiovascular epidemiology in a changing world--challenges to investigators and the National Heart, Lung, and Blood Institute | Q24289209 | ||
What matters most: quantifying an epidemiology of consequence | Q24289456 | ||
A multi-level systems perspective for the science of team science | Q24597563 | ||
Advancing the science of team science | Q24622180 | ||
The collective dynamics of smoking in a large social network | Q24647437 | ||
Charting a future for epidemiologic training | Q24658639 | ||
A haplotype map of the human genome | Q24679827 | ||
Team assembly mechanisms determine collaboration network structure and team performance | Q24684815 | ||
Strategic transformation of population studies: recommendations of the working group on epidemiology and population sciences from the National Heart, Lung, and Blood Advisory Council and Board of External Experts | Q28651477 | ||
Sick individuals and sick populations | Q43440816 | ||
Time for a creative transformation of epidemiology in the United States | Q44359465 | ||
Adding a life-course perspective to cardiovascular-risk communication | Q44443163 | ||
Racism and ambulatory blood pressure in a community sample | Q46815015 | ||
American Heart Association Guide for Improving Cardiovascular Health at the Community Level, 2013 update: a scientific statement for public health practitioners, healthcare providers, and health policy makers | Q47904442 | ||
State of disparities in cardiovascular health in the United States | Q50134146 | ||
Academic Health Systems' Third Curve: Population Health Improvement. | Q51538381 | ||
The Pawtucket Heart Health Program: community changes in cardiovascular risk factors and projected disease risk | Q72268246 | ||
Network medicine--from obesity to the "diseasome" | Q80673341 | ||
Cardiovascular science in the service of national strength | Q82535389 | ||
Improving cardiovascular health in a rural population: can other communities do the same? | Q86522666 | ||
Network medicine: a network-based approach to human disease | Q29547462 | ||
Forecasting the future of cardiovascular disease in the United States: a policy statement from the American Heart Association | Q30080021 | ||
An argument for a consequentialist epidemiology. | Q30353496 | ||
Promoting cardiovascular health worldwide: strategies, challenges, and opportunities. | Q30366254 | ||
Federalist principles for healthcare data networks | Q30925933 | ||
Merging Electronic Health Record Data and Genomics for Cardiovascular Research: A Science Advisory From the American Heart Association | Q31058146 | ||
Mobile technology and the digitization of healthcare | Q33447208 | ||
Neighborhood resources for physical activity and healthy foods and incidence of type 2 diabetes mellitus: the Multi-Ethnic study of Atherosclerosis | Q33687320 | ||
The Emergence of Translational Epidemiology: From Scientific Discovery to Population Health Impact | Q34082166 | ||
Training and career development for comparative effectiveness research workforce development: CTSA Consortium Strategic Goal Committee on comparative effectiveness research workgroup on workforce development | Q34248536 | ||
Heart Disease and Stroke Statistics-2016 Update: A Report From the American Heart Association | Q34505315 | ||
Task force #3--getting results: who, where, and how? 33rd Bethesda Conference | Q34804739 | ||
Invited commentary: future of population studies--defining research priorities and processes | Q35233969 | ||
The spread of alcohol consumption behavior in a large social network | Q35932690 | ||
Driving Innovation in Health Systems through an Apps-Based Information Economy | Q36016329 | ||
Epidemiology's continuing contribution to public health: The power of "Then and Now". | Q36047571 | ||
Community-wide cardiovascular disease prevention programs and health outcomes in a rural county, 1970-2010 | Q36069523 | ||
Neighborhood health-promoting resources and obesity risk (the multi-ethnic study of atherosclerosis) | Q36438217 | ||
Competency-based epidemiologic training in public health practice | Q36444870 | ||
Social environment and physical activity: a review of concepts and evidence | Q36464759 | ||
Digital medical tools and sensors | Q36572926 | ||
Developing the next generation of dissemination and implementation researchers: insights from initial trainees | Q36767375 | ||
The Evaluation of Genomic Applications in Practice and Prevention (EGAPP) Initiative: methods of the EGAPP Working Group | Q37277889 | ||
Predicting the 30-year risk of cardiovascular disease: the framingham heart study | Q37356527 | ||
'Integrative Physiology 2.0': integration of systems biology into physiology and its application to cardiovascular homeostasis. | Q37827644 | ||
Racism and hypertension: a review of the empirical evidence and implications for clinical practice | Q37844400 | ||
Promotion of cardiovascular health at three stages of life: never too soon, never too late | Q38244700 | ||
Effects of a community-wide health education program on cardiovascular disease morbidity and mortality: the Stanford Five-City Project | Q39545816 | ||
SMART on FHIR: a standards-based, interoperable apps platform for electronic health records | Q39971433 | ||
Design and Analysis of Community Trials: Lessons from the Minnesota Heart Health Program | Q40972202 | ||
Social Determinants of Risk and Outcomes for Cardiovascular Disease: A Scientific Statement From the American Heart Association | Q41516673 | ||
Diving through the "-omics": the case for deep phenotyping and systems epidemiology | Q42140070 | ||
P433 | issue | 25 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | circulatory system | Q11068 |
P304 | page(s) | 2626-2633 | |
P577 | publication date | 2016-06-01 | |
P1433 | published in | Circulation | Q578091 |
P1476 | title | The Future of Cardiovascular Epidemiology | |
P478 | volume | 133 |
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Q53072437 | Using big data to improve cardiovascular care and outcomes in China: a protocol for the CHinese Electronic health Records Research in Yinzhou (CHERRY) Study. |
Q38688847 | Validity of Cardiovascular Data From Electronic Sources:The Multi-Ethnic Study of Atherosclerosis and HealthLNK. |
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