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State‐of‐the‐Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular System
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070211/ https://www.ncbi.nlm.nih.gov/pubmed/32067584 http://dx.doi.org/10.1161/JAHA.119.013924 |
| _version_ | 1783505922606235648 |
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| author | Sevakula, Rahul Kumar Au‐Yeung, Wan‐Tai M. Singh, Jagmeet P. Heist, E. Kevin Isselbacher, Eric M. Armoundas, Antonis A. |
| author_facet | Sevakula, Rahul Kumar Au‐Yeung, Wan‐Tai M. Singh, Jagmeet P. Heist, E. Kevin Isselbacher, Eric M. Armoundas, Antonis A. |
| author_sort | Sevakula, Rahul Kumar |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7070211 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2020 |
| publisher | John Wiley and Sons Inc. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-70702112020-03-17 State‐of‐the‐Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular System Sevakula, Rahul Kumar Au‐Yeung, Wan‐Tai M. Singh, Jagmeet P. Heist, E. Kevin Isselbacher, Eric M. Armoundas, Antonis A. J Am Heart Assoc Contemporary Review John Wiley and Sons Inc. 2020-02-13 /pmc/articles/PMC7070211/ /pubmed/32067584 http://dx.doi.org/10.1161/JAHA.119.013924 Text en © 2020 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
| spellingShingle | Contemporary Review Sevakula, Rahul Kumar Au‐Yeung, Wan‐Tai M. Singh, Jagmeet P. Heist, E. Kevin Isselbacher, Eric M. Armoundas, Antonis A. State‐of‐the‐Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular System |
| title | State‐of‐the‐Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular System |
| title_full | State‐of‐the‐Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular System |
| title_fullStr | State‐of‐the‐Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular System |
| title_full_unstemmed | State‐of‐the‐Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular System |
| title_short | State‐of‐the‐Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular System |
| title_sort | state‐of‐the‐art machine learning techniques aiming to improve patient outcomes pertaining to the cardiovascular system |
| topic | Contemporary Review |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070211/ https://www.ncbi.nlm.nih.gov/pubmed/32067584 http://dx.doi.org/10.1161/JAHA.119.013924 |
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