Machine Learning Framework to Identify Individuals at Risk of Rapid Progression of Coronary Atherosclerosis: From the PARADIGM Registry
- DOI
- 10.1161/jaha.119.013958
- Published
- 2020-03-03
- Container
- Journal of the American Heart Association
- Publisher
- Ovid Technologies (Wolters Kluwer Health)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1161/jaha.119.013958,
title = {Machine Learning Framework to Identify Individuals at Risk of Rapid Progression of Coronary Atherosclerosis: From the PARADIGM Registry},
author = {Donghee Han and Kranthi K. Kolli and Subhi J. Al'Aref and Lohendran Baskaran and Alexander R. van Rosendael and Heidi Gransar and Daniele Andreini and Matthew J. Budoff and Filippo Cademartiri and Kavitha Chinnaiyan and Jung Hyun Choi and Edoardo Conte and Hugo Marques and Pedro de Araújo Gonçalves and Ilan Gottlieb and Martin Hadamitzky and Jonathon A. Leipsic and Erica Maffei and Gianluca Pontone and Gilbert L. Raff and Sangshoon Shin and Yong‐Jin Kim and Byoung Kwon Lee and Eun Ju Chun and Ji Min Sung and Sang‐Eun Lee and Renu Virmani and Habib Samady and Peter Stone and Jagat Narula and Daniel S. Berman and Jeroen J. Bax and Leslee J. Shaw and Fay Y. Lin and James K. Min and Hyuk‐Jae Chang},
year = {2020},
journal = {Journal of the American Heart Association},
doi = {10.1161/jaha.119.013958},
url = {https://doi.org/10.1161/jaha.119.013958}
}RIS
TY - JOUR TI - Machine Learning Framework to Identify Individuals at Risk of Rapid Progression of Coronary Atherosclerosis: From the PARADIGM Registry AU - Donghee Han AU - Kranthi K. Kolli AU - Subhi J. Al'Aref AU - Lohendran Baskaran AU - Alexander R. van Rosendael AU - Heidi Gransar AU - Daniele Andreini AU - Matthew J. Budoff AU - Filippo Cademartiri AU - Kavitha Chinnaiyan AU - Jung Hyun Choi AU - Edoardo Conte AU - Hugo Marques AU - Pedro de Araújo Gonçalves AU - Ilan Gottlieb AU - Martin Hadamitzky AU - Jonathon A. Leipsic AU - Erica Maffei AU - Gianluca Pontone AU - Gilbert L. Raff AU - Sangshoon Shin AU - Yong‐Jin Kim AU - Byoung Kwon Lee AU - Eun Ju Chun AU - Ji Min Sung AU - Sang‐Eun Lee AU - Renu Virmani AU - Habib Samady AU - Peter Stone AU - Jagat Narula AU - Daniel S. Berman AU - Jeroen J. Bax AU - Leslee J. Shaw AU - Fay Y. Lin AU - James K. Min AU - Hyuk‐Jae Chang PY - 2020 JO - Journal of the American Heart Association DO - 10.1161/jaha.119.013958 UR - https://doi.org/10.1161/jaha.119.013958 ER -
APA
Han, D., Kolli, K. K., Al'Aref, S. J., Baskaran, L., Rosendael, A. R. V., Gransar, H., Andreini, D., Budoff, M. J., Cademartiri, F., Chinnaiyan, K., Choi, J. H., Conte, E., Marques, H., Gonçalves, P. D. A., Gottlieb, I., Hadamitzky, M., Leipsic, J. A., Maffei, E., Pontone, G., Raff, G. L., Shin, S., Kim, Y., Lee, B. K., Chun, E. J., Sung, J. M., Lee, S., Virmani, R., Samady, H., Stone, P., Narula, J., Berman, D. S., Bax, J. J., Shaw, L. J., Lin, F. Y., Min, J. K., & Chang, H. (2020). Machine Learning Framework to Identify Individuals at Risk of Rapid Progression of Coronary Atherosclerosis: From the PARADIGM Registry. Journal of the American Heart Association. https://doi.org/10.1161/jaha.119.013958
Source records
- crossref · retrieved 2026-09-26T07:38:50.021Z