Big data analytics to improve cardiovascular care: promise and challenges
Published 2016 View Full Article
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Title
Big data analytics to improve cardiovascular care: promise and challenges
Authors
Keywords
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Journal
Nature Reviews Cardiology
Volume 13, Issue 6, Pages 350-359
Publisher
Springer Nature
Online
2016-03-24
DOI
10.1038/nrcardio.2016.42
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- (2015) Ruben Amarasingham et al. BMC Medical Informatics and Decision Making
- Using "Big Data" to Dissect Clinical Heterogeneity
- (2015) R. B. Altman et al. CIRCULATION
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- (2015) J. V. Tu et al.
- NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical records
- (2015) Yue Wang et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Prediction of hospitalization due to heart diseases by supervised learning methods
- (2015) Wuyang Dai et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- A hybrid model for automatic identification of risk factors for heart disease
- (2015) Hui Yang et al. JOURNAL OF BIOMEDICAL INFORMATICS
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- (2015) Zhongkai Hu et al. JOURNAL OF MEDICAL INTERNET RESEARCH
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- (2015) P. Melillo et al. JOURNAL OF MEDICAL SYSTEMS
- A method for systematic discovery of adverse drug events from clinical notes
- (2015) Guan Wang et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- UK Biobank comes of age
- (2015) Simon G Thompson et al. LANCET
- Setting Value-Based Payment Goals — HHS Efforts to Improve U.S. Health Care
- (2015) Sylvia M. Burwell NEW ENGLAND JOURNAL OF MEDICINE
- Improving Detection of Arrhythmia Drug-Drug Interactions in Pharmacovigilance Data through the Implementation of Similarity-Based Modeling
- (2015) Santiago Vilar et al. PLoS One
- Realizing the Potential of Clinical Risk Prediction Models
- (2015) Adam C. Salisbury et al. Circulation-Cardiovascular Quality and Outcomes
- Clinical Prediction Models for Cardiovascular Disease
- (2015) Benjamin S. Wessler et al. Circulation-Cardiovascular Quality and Outcomes
- The Cardiovascular Health in Ambulatory Care Research Team (CANHEART): Using Big Data to Measure and Improve Cardiovascular Health and Healthcare Services
- (2015) J. V. Tu et al. Circulation-Cardiovascular Quality and Outcomes
- Quantification of Diabetes Comorbidity Risks across Life Using Nation-Wide Big Claims Data
- (2015) Peter Klimek et al. PLoS Computational Biology
- Mining severe drug-drug interaction adverse events using Semantic Web technologies: a case study
- (2015) Guoqian Jiang et al. BioData Mining
- Identification and Progression of Heart Disease Risk Factors in Diabetic Patients from Longitudinal Electronic Health Records
- (2015) Jitendra Jonnagaddala et al. Biomed Research International
- Symmetrical Compression Distance for Arrhythmia Discrimination in Cloud-Based Big-Data Services
- (2015) J. M. Lillo-Castellano et al. IEEE Journal of Biomedical and Health Informatics
- Comparative effectiveness research and big data: balancing potential with legal and ethical considerations
- (2015) Elizabeth Alexandra Gray et al. Journal of Comparative Effectiveness Research
- Automatic Prediction of Cardiovascular and Cerebrovascular Events Using Heart Rate Variability Analysis
- (2015) Paolo Melillo et al. PLoS One
- Proton Pump Inhibitor Usage and the Risk of Myocardial Infarction in the General Population
- (2015) Nigam H. Shah et al. PLoS One
- Association of Statin Use with Sleep Disturbances: Data Mining of a Spontaneous Reporting Database and a Prescription Database
- (2014) Mitsutaka Takada et al. DRUG SAFETY
- Optum Labs: Building A Novel Node In The Learning Health Care System
- (2014) Paul J. Wallace et al. HEALTH AFFAIRS
- Early Experiences With Big Data At An Academic Medical Center
- (2014) John D. Halamka HEALTH AFFAIRS
- Creating Value In Health Care Through Big Data: Opportunities And Policy Implications
- (2014) Joachim Roski et al. HEALTH AFFAIRS
- Patient-Powered Research Networks Aim To Improve Patient Care And Health Research
- (2014) Rachael L. Fleurence et al. HEALTH AFFAIRS
- Big Data And New Knowledge In Medicine: The Thinking, Training, And Tools Needed For A Learning Health System
- (2014) Harlan M. Krumholz HEALTH AFFAIRS
- Insights From Advanced Analytics At The Veterans Health Administration
- (2014) Stephan D. Fihn et al. HEALTH AFFAIRS
- A ‘Green Button’ For Using Aggregate Patient Data At The Point Of Care
- (2014) Christopher A. Longhurst et al. HEALTH AFFAIRS
- Implementing Electronic Health Care Predictive Analytics: Considerations And Challenges
- (2014) Ruben Amarasingham et al. HEALTH AFFAIRS
- Big Data In Health Care: Using Analytics To Identify And Manage High-Risk And High-Cost Patients
- (2014) David W. Bates et al. HEALTH AFFAIRS
- Four Health Data Networks Illustrate The Potential For A Shared National Multipurpose Big-Data Network
- (2014) Lesley H. Curtis et al. HEALTH AFFAIRS
- Prevalence of Heart Failure Signs and Symptoms in a Large Primary Care Population Identified Through the Use of Text and Data Mining of the Electronic Health Record
- (2014) Rajakrishnan Vijayakrishnan et al. JOURNAL OF CARDIAC FAILURE
- The National Institutes of Health's Big Data to Knowledge (BD2K) initiative: capitalizing on biomedical big data
- (2014) Ronald Margolis et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Risk Prediction of Emergency Department Revisit 30 Days Post Discharge: A Prospective Study
- (2014) Shiying Hao et al. PLoS One
- Data-Driven Decisions for Reducing Readmissions for Heart Failure: General Methodology and Case Study
- (2014) Mohsen Bayati et al. PLoS One
- Identifying patients with diabetes and the earliest date of diagnosis in real time: an electronic health record case-finding algorithm
- (2013) Anil N Makam et al. BMC Medical Informatics and Decision Making
- Most Important Outcomes Research Papers on Variation in Cardiovascular Disease
- (2013) Julianna F. Lampropulos et al.
- Using Electronic Health Record Data to Develop and Validate a Prediction Model for Adverse Outcomes in the Wards*
- (2013) Matthew M. Churpek et al. CRITICAL CARE MEDICINE
- The Electronic Medical Records and Genomics (eMERGE) Network: past, present and future
- (2013) Omri Gottesman et al. GENETICS IN MEDICINE
- Building Trust in the Power of “Big Data” Research to Serve the Public Good
- (2013) Eric B. Larson JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- The Inevitable Application of Big Data to Health Care
- (2013) Travis B. Murdoch et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Electronic health records based phenotyping in next-generation clinical trials: a perspective from the NIH Health Care Systems Collaboratory: Table 1
- (2013) Rachel L Richesson et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- A review of approaches to identifying patient phenotype cohorts using electronic health records
- (2013) Chaitanya Shivade et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- When Google got flu wrong
- (2013) Declan Butler NATURE
- Are We Up to Speed?
- (2013) Jagat Narula JACC-Cardiovascular Imaging
- Allocating scarce resources in real-time to reduce heart failure readmissions: a prospective, controlled study
- (2013) Ruben Amarasingham et al. BMJ Quality & Safety
- Why Big Data Won't Cure Us
- (2013) Gina Neff Big Data
- Data Resource Profile: Cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER)
- (2012) S. C. Denaxas et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Early detection of impending physiologic deterioration among patients who are not in intensive care: Development of predictive models using data from an automated electronic medical record
- (2012) Gabriel J. Escobar et al. Journal of Hospital Medicine
- Validity of electronic health record-derived quality measurement for performance monitoring
- (2012) A. Parsons et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Tracking the Rise in Popularity of Electronic Nicotine Delivery Systems (Electronic Cigarettes) Using Search Query Surveillance
- (2011) John W. Ayers et al. AMERICAN JOURNAL OF PREVENTIVE MEDICINE
- Automated Identification of Postoperative Complications Within an Electronic Medical Record Using Natural Language Processing
- (2011) Harvey J. Murff et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Guidelines for good database selection and use in pharmacoepidemiology research
- (2011) Gillian C. Hall et al. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
- Automated Surveillance to Detect Postprocedure Safety Signals of Approved Cardiovascular Devices
- (2010) Frederic S. Resnic et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- An Automated Model to Identify Heart Failure Patients at Risk for 30-Day Readmission or Death Using Electronic Medical Record Data
- (2010) Ruben Amarasingham et al. MEDICAL CARE
- Outcomes Research
- (2008) Harlan M. Krumholz CIRCULATION
- Detecting influenza epidemics using search engine query data
- (2008) Jeremy Ginsberg et al. NATURE
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