State‐of‐the‐Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular System
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-02-01
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| Series: | Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease |
| Subjects: | |
| Online Access: | https://www.ahajournals.org/doi/10.1161/JAHA.119.013924 |
| _version_ | 1797884443870887936 |
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| author | Rahul Kumar Sevakula Wan‐Tai M. Au‐Yeung Jagmeet P. Singh E. Kevin Heist Eric M. Isselbacher Antonis A. Armoundas |
| author_facet | Rahul Kumar Sevakula Wan‐Tai M. Au‐Yeung Jagmeet P. Singh E. Kevin Heist Eric M. Isselbacher Antonis A. Armoundas |
| author_sort | Rahul Kumar Sevakula |
| collection | DOAJ |
| first_indexed | 2024-04-10T04:06:20Z |
| format | Article |
| id | doaj.art-e21a3694e29a471f803f78794cd1e3ec |
| institution | Directory Open Access Journal |
| issn | 2047-9980 |
| language | English |
| last_indexed | 2024-04-10T04:06:20Z |
| publishDate | 2020-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease |
| spelling | doaj.art-e21a3694e29a471f803f78794cd1e3ec2023-03-13T05:25:33ZengWileyJournal of the American Heart Association: Cardiovascular and Cerebrovascular Disease2047-99802020-02-019410.1161/JAHA.119.013924State‐of‐the‐Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular SystemRahul Kumar Sevakula0Wan‐Tai M. Au‐Yeung1Jagmeet P. Singh2E. Kevin Heist3Eric M. Isselbacher4Antonis A. Armoundas5Cardiovascular Research Center Massachusetts General Hospital Boston MACardiovascular Research Center Massachusetts General Hospital Boston MAThe Cardiac Arrhythmia Service Massachusetts General Hospital Boston MAThe Cardiac Arrhythmia Service Massachusetts General Hospital Boston MAHealthcare Transformation Lab Massachusetts General Hospital Boston MACardiovascular Research Center Massachusetts General Hospital Boston MAhttps://www.ahajournals.org/doi/10.1161/JAHA.119.013924cardiovasculardeep learningmachine learningoutcomesreviewstate of the art |
| spellingShingle | Rahul Kumar Sevakula Wan‐Tai M. Au‐Yeung Jagmeet P. Singh E. Kevin Heist Eric M. Isselbacher Antonis A. Armoundas State‐of‐the‐Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular System Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease cardiovascular deep learning machine learning outcomes review state of the art |
| 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 | cardiovascular deep learning machine learning outcomes review state of the art |
| url | https://www.ahajournals.org/doi/10.1161/JAHA.119.013924 |
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