The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Big data analytics to improve cardiovascular care: promise and challenges
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Citations
Cites
Detecting influenza epidemics using search engine query data
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Heart Disease: A Textbook of Cardiovascular Medicine.
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Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine
Mann, D. L., Zipes, D. P., Libby, P., Bonow, R. O., & D, E. B. M. (2011) · Medical Entomology and Zoology · Cited by 3,745
Big data analytics in healthcare: promise and potential
Raghupathi, W., & Raghupathi, V. (2014) · Health Information Science and Systems · doi:10.1186/2047-2501-2-3 · Cited by 3,034
The Inevitable Application of Big Data to Health Care
Murdoch, T. B., & Detsky, A. S. (2013) · JAMA · doi:10.1001/jama.2013.393 · Cited by 1,664
Fisher, E. S., Wennberg, D. E., Stukel, T. A., Gottlieb, D. J., Lucas, F. L., & Pinder, É. L. (2003) · Annals of Internal Medicine · doi:10.7326/0003-4819-138-4-200302180-00006 · Cited by 1,539
Fisher, E. S., Wennberg, D. E., Stukel, T. A., Gottlieb, D. J., Lucas, F. L., & Pinder, É. L. (2003) · Annals of Internal Medicine · doi:10.7326/0003-4819-138-4-200302180-00007 · Cited by 1,341
Big Data In Health Care: Using Analytics To Identify And Manage High-Risk And High-Cost Patients
Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014) · Health Affairs · doi:10.1377/hlthaff.2014.0041 · Cited by 1,235
Phenomapping for Novel Classification of Heart Failure With Preserved Ejection Fraction
Shah, S. J., Katz, D. H., Selvaraj, S., Burke, M. A., Yancy, C. W., Gheorghiade, M., Bonow, R. O., Huang, C.-C., & Deo, R. C. (2015) · Circulation · doi:10.1161/circulationaha.114.010637 · Cited by 1,157
Setting Value-Based Payment Goals — HHS Efforts to Improve U.S. Health Care
Burwell, S. M. (2015) · New England Journal of Medicine · doi:10.1056/nejmp1500445 · Cited by 939
Cited by
Ahmed, Z., Mohamed, K., Zeeshan, S., & Dong, X. (2020) · Database · doi:10.1093/database/baaa010 · Cited by 1,035
The ‘Digital Twin’ to enable the vision of precision cardiology
Corral-Acero, J., Margara, F., Marciniak, M., Rodero, C., Loncaric, F., Feng, Y., Gilbert, A., Fernandes, J. F., Bukhari, H. A., Wajdan, A., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehaa159 · Cited by 932
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
Waring, J., Lindvall, C., & Umeton, R. (2020) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2020.101822 · Cited by 834
Medical big data: promise and challenges
Lee, C. H., & Yoon, H.-J. (2017) · Kidney Research and Clinical Practice · doi:10.23876/j.krcp.2017.36.1.3 · Cited by 594
The use of Big Data Analytics in healthcare
Batko, K., & Ślęzak, A. (2022) · Journal of Big Data · doi:10.1186/s40537-021-00553-4 · Cited by 593
Metadata
- Authors
- Rumsfeld, J. S., Joynt, K. E., & Maddox, T. M.
- Venue
- Nature Reviews Cardiology
- Published
- 2016-03-24
- Volume
- 13
- Issue
- 6
- Pages
- 350-359
- ISSN
- 1759-5002 (ISSN-L)
- 1759-5010
- OpenAlex
- W2308085519
- Cited by
- 398
- References
- 73
- FWCI
- 12.48
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Big data analytics to improve cardiovascular care: promise and challenges. https://app.cochat.ai/papers/10.1038/nrcardio.2016.42
- The paper
- Rumsfeld, J. S., Joynt, K. E., & Maddox, T. M. (2016). Big data analytics to improve cardiovascular care: promise and challenges. Nature Reviews Cardiology. https://doi.org/10.1038/nrcardio.2016.42
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
