The application of Big Data in medicine: current implications and future directions
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[1] M. Makary,et al. Prevalence and Data Transparency of National Clinical Registries in the United States , 2016, Journal for healthcare quality : official publication of the National Association for Healthcare Quality.
[2] P. Levy,et al. Exploring the Potential of Predictive Analytics and Big Data in Emergency Care. , 2016, Annals of emergency medicine.
[3] Bridget M. Kuehn,et al. Twitter Streams Fuel Big Data Approaches to Health Forecasting. , 2015, JAMA.
[4] Renato Pietro Ricci,et al. HRS Expert Consensus Statement on remote interrogation and monitoring for cardiovascular implantable electronic devices. , 2015, Heart rhythm.
[5] V. Roger,et al. Of the Importance of Motherhood and Apple Pie: What Big Data Can Learn From Small Data. , 2015, Circulation. Cardiovascular quality and outcomes.
[6] J. Piccini,et al. The Relationship Between Level of Adherence to Automatic Wireless Remote Monitoring and Survival in Pacemaker and Defibrillator Patients. , 2015, Journal of the American College of Cardiology.
[7] Eric Boerwinkle,et al. 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. , 2015, American journal of epidemiology.
[8] Wenli Zhang,et al. Predicting Asthma-Related Emergency Department Visits Using Big Data , 2015, IEEE Journal of Biomedical and Health Informatics.
[9] J. Ludvigsson,et al. Review of 103 Swedish Healthcare Quality Registries , 2015, Journal of internal medicine.
[10] Anne B Martin,et al. National health spending in 2013: growth slows, remains in step with the overall economy. , 2015, Health affairs.
[11] Katharine Armstrong,et al. Big data: a revolution that will transform how we live, work, and think , 2014 .
[12] Agencies use social media to track foodborne illness. , 2014, JAMA.
[13] P. Webster. Sweden’s health data goldmine , 2014, Canadian Medical Association Journal.
[14] D. Lazer,et al. The Parable of Google Flu: Traps in Big Data Analysis , 2014, Science.
[15] G. Hindricks,et al. Quarterly vs. yearly clinical follow-up of remotely monitored recipients of prophylactic implantable cardioverter-defibrillators: results of the REFORM trial , 2013, European heart journal.
[16] Yadira Espinal. Viktor Mayer-Schonberger and Kenneth Cukier, Big Data: A Revolution That Will Transform How We Live, Work and Think , 2013 .
[17] Darcy A. Davis,et al. Bringing Big Data to Personalized Healthcare: A Patient-Centered Framework , 2013, Journal of General Internal Medicine.
[18] Renato Pietro Ricci,et al. Effectiveness of remote monitoring of CIEDs in detection and treatment of clinical and device-related cardiovascular events in daily practice: the HomeGuide Registry , 2013, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.
[19] B. Hammill,et al. Data sources for heart failure comparative effectiveness research. , 2013, Heart failure clinics.
[20] Martin Hilbert,et al. Info Capacity| How to Measure the World’s Technological Capacity to Communicate, Store and Compute Information? Part I: Results and Scope , 2012 .
[21] Gerd Gigerenzer,et al. Heuristic decision making in medicine , 2012, Dialogues in clinical neuroscience.
[22] R. Benza,et al. The REVEAL Registry risk score calculator in patients newly diagnosed with pulmonary arterial hypertension. , 2012, Chest.
[23] P. Heidenreich,et al. Cardiac resynchronization therapy and the relationship of percent biventricular pacing to symptoms and survival. , 2011, Heart rhythm.
[24] P. Heidenreich,et al. Real World Evaluation of Dual‐Zone ICD and CRT‐D Programming Compared to Single‐Zone Programming: The ALTITUDE REDUCES Study , 2011, Journal of cardiovascular electrophysiology.
[25] Marie T. Brown,et al. Medication adherence: WHO cares? , 2011, Mayo Clinic proceedings.
[26] Martin Hilbert,et al. The World’s Technological Capacity to Store, Communicate, and Compute Information , 2011, Science.
[27] W. Oetgen,et al. Electronic Health Records Cardiologists, the PINNACLE Registry, and the "Meaningful Use" of , 2011 .
[28] P. Heidenreich,et al. Long-Term Outcome After ICD and CRT Implantation and Influence of Remote Device Follow-Up: The ALTITUDE Survival Study , 2010, Circulation.
[29] Bradley Malin,et al. Evaluating re-identification risks with respect to the HIPAA privacy rule , 2010, J. Am. Medical Informatics Assoc..
[30] Gregory Y H Lip,et al. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation. , 2010, Chest.
[31] Antonio Colombo,et al. Percutaneous coronary intervention versus coronary-artery bypass grafting for severe coronary artery disease. , 2009, The New England journal of medicine.
[32] Paul Ohm. Broken Promises of Privacy: Responding to the Surprising Failure of Anonymization , 2009 .
[33] Jeremy Ginsberg,et al. Detecting influenza epidemics using search engine query data , 2009, Nature.
[34] K. Alexander,et al. Medical records and quality of care in acute coronary syndromes: results from CRUSADE. , 2008, Archives of internal medicine.
[35] Andy Blackburn,et al. Google Flu trends , 2008 .
[36] A. Conway Morris,et al. TIMI risk score accurately risk stratifies patients with undifferentiated chest pain presenting to an emergency department , 2006, Heart.
[37] Weintraub. Development of the American College of Cardiology National Cardiovascular Data Registry. , 1998, The Journal of invasive cardiology.
[38] M. Cox,et al. Application-controlled demand paging for out-of-core visualization , 1997, Proceedings. Visualization '97 (Cat. No. 97CB36155).
[39] W. Baxt. Analysis of the clinical variables driving decision in an artificial neural network trained to identify the presence of myocardial infarction. , 1992, Annals of emergency medicine.
[40] I. Palacios,et al. Percutaneous balloon dilatation of the mitral valve: an analysis of echocardiographic variables related to outcome and the mechanism of dilatation. , 1988, British heart journal.
[41] I. Palacios,et al. Echocardiographic evaluation of mitral valve structure and function in patients followed for at least 6 months after percutaneous balloon mitral valvuloplasty. , 1988, Journal of the American College of Cardiology.