(Q31062479)

28 June 2017

Big data analytics to improve cardiovascular care: promise and challenges (English)

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28 June 2017

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2

Karen E Joynt

1 reference

28 June 2017

John S Rumsfeld

1

1 reference

28 June 2017

Thomas M Maddox

series ordinal

3

1 reference

28 June 2017

language of work or name

English

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publication date

24 March 2016

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Nature Reviews Cardiology

28 June 2017

1 reference

28 June 2017

13

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28 June 2017

6

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28 June 2017

350-359

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Outcomes research: generating evidence for best practice and policies

28 June 2017

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Most important outcomes research papers on variation in cardiovascular disease

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

The implications of regional variations in Medicare spending. Part 1: the content, quality, and accessibility of care

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

The implications of regional variations in Medicare spending. Part 2: health outcomes and satisfaction with care

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Big data analytics in healthcare: promise and potential

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Big data in health care: using analytics to identify and manage high-risk and high-cost patients

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Detecting influenza epidemics using search engine query data

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

When Google got flu wrong

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Creating value in health care through big data: opportunities and policy implications

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

DATA MINING APPROACH FOR IN-HOSPITAL TREATMENT OUTCOME IN PATIENTS WITH ACUTE CORONARY SYNDROME.

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

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

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards*.

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Cloud-Based Smart Health Monitoring System for Automatic Cardiovascular and Fall Risk Assessment in Hypertensive Patients

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Automated identification of postoperative complications within an electronic medical record using natural language processing

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Automatic prediction of cardiovascular and cerebrovascular events using heart rate variability analysis

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Prediction of hospitalization due to heart diseases by supervised learning methods.

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Electronic medical record-based multicondition models to predict the risk of 30 day readmission or death among adult medicine patients: validation and comparison to existing models

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

An automated model to identify heart failure patients at risk for 30-day readmission or death using electronic medical record data

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Data-driven decisions for reducing readmissions for heart failure: general methodology and case study

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Real-time web-based assessment of total population risk of future emergency department utilization: statewide prospective active case finding study.

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Risk prediction of emergency department revisit 30 days post discharge: a prospective study

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Online Prediction of Health Care Utilization in the Next Six Months Based on Electronic Health Record Information: A Cohort and Validation Study

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Setting value-based payment goals--HHS efforts to improve U.S. health care.

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

A novel neural-inspired learning algorithm with application to clinical risk prediction

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Identifying patients with diabetes and the earliest date of diagnosis in real time: an electronic health record case-finding algorithm

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

A hybrid model for automatic identification of risk factors for heart disease.

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Identification and Progression of Heart Disease Risk Factors in Diabetic Patients from Longitudinal Electronic Health Records

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical records.

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

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

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Symmetrical compression distance for arrhythmia discrimination in cloud-based big-data services.

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Improving Detection of Arrhythmia Drug-Drug Interactions in Pharmacovigilance Data through the Implementation of Similarity-Based Modeling

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Mining severe drug-drug interaction adverse events using Semantic Web technologies: a case study

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Automated surveillance to detect postprocedure safety signals of approved cardiovascular devices

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

A method for systematic discovery of adverse drug events from clinical notes

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Guidelines for good database selection and use in pharmacoepidemiology research.

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Using "big data" to dissect clinical heterogeneity

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Phenomapping for novel classification of heart failure with preserved ejection fraction

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

A review of approaches to identifying patient phenotype cohorts using electronic health records.

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Limitations of applying summary results of clinical trials to individual patients: the need for risk stratification

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

The inevitable application of big data to health care

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

A 'green button' for using aggregate patient data at the point of care

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Validity of electronic health record-derived quality measurement for performance monitoring

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Tracking the rise in popularity of electronic nicotine delivery systems (electronic cigarettes) using search query surveillance.

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

The National Institutes of Health's Big Data to Knowledge (BD2K) initiative: capitalizing on biomedical big data

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Data resource profile: cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER)

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

The Cardiovascular Health in Ambulatory Care Research Team (CANHEART): using big data to measure and improve cardiovascular health and healthcare services.

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Optum Labs: building a novel node in the learning health care system

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Four health data networks illustrate the potential for a shared national multipurpose big-data network

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Patient-powered research networks aim to improve patient care and health research

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

21 January 2018

UK Biobank comes of age.

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Proton Pump Inhibitor Usage and the Risk of Myocardial Infarction in the General Population

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Association of statin use with sleep disturbances: data mining of a spontaneous reporting database and a prescription database

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Quantification of diabetes comorbidity risks across life using nation-wide big claims data

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Building trust in the power of "big data" research to serve the public good

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Electronic health records based phenotyping in next-generation clinical trials: a perspective from the NIH Health Care Systems Collaboratory

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Allocating scarce resources in real-time to reduce heart failure readmissions: a prospective, controlled study

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Early experiences with big data at an academic medical center

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Implementing electronic health care predictive analytics: considerations and challenges

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Are we up to speed?: from big data to rich insights in CV imaging for a hyperconnected world.

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Comparative effectiveness research and big data: balancing potential with legal and ethical considerations

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Why Big Data Won't Cure Us

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Clinical Prediction Models for Cardiovascular Disease: Tufts Predictive Analytics and Comparative Effectiveness Clinical Prediction Model Database

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Insights from advanced analytics at the Veterans Health Administration

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Customization of a Severity of Illness Score Using Local Electronic Medical Record Data

21 January 2018

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

Realizing the Potential of Clinical Risk Prediction Models: Where Are We Now and What Needs to Change to Better Personalize Delivery of Care?

31 March 2020

1 reference

https://api.crossref.org/works/10.1038%2FNRCARDIO.2016.42

The U.S. Food and Drug Administration's Mini-Sentinel program: status and direction

31 March 2020

1 reference

12 December 2020

Heart Failure Medications Detection and Prescription Status Classification in Clinical Narrative Documents

1 reference

12 December 2020

Using EHRs and Machine Learning for Heart Failure Survival Analysis.

1 reference

12 December 2020

Part 1. Statistical Learning Methods for the Effects of Multiple Air Pollution Constituents.

1 reference

12 December 2020

Finding the missing link for big biomedical data

1 reference

12 December 2020

Identifiers

DOI

10.1038/NRCARDIO.2016.42

1 reference

Dimensions Publication ID

28 June 2017

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1 reference