Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Machine Learning for Data-Driven Discovery: The Rise and Relevance.

Literature DB >> 30553684

Machine Learning for Data-Driven Discovery: The Rise and Relevance.

Partho P Sengupta¹, Sirish Shrestha².

Abstract

Entities: Chemical Disease Gene Species

Keywords: echocardiography; electronic health records; machine learning; mortality

Mesh：

Year: 2018 PMID： 30553684 PMCID： PMC7061287 DOI： 10.1016/j.jcmg.2018.06.030

Source DB: PubMed Journal: JACC Cardiovasc Imaging ISSN： 1876-7591

× No keyword cloud information.

2 in total

1. Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model.

Authors: Yuanwei Li; Chin Pang Ho; Matthieu Toulemonde; Navtej Chahal; Roxy Senior; Meng-Xing Tang
Journal: IEEE Trans Med Imaging Date: 2017-09-26 Impact factor: 10.048

2. The rise and fall of machine learning methods in biomedical research.

Authors: Hashem Koohy
Journal: F1000Res Date: 2017-11-10

2 in total

6 in total

Review 1. Artificial Intelligence and Machine Learning in Cardiovascular Imaging.

Authors: Karthik Seetharam; James K Min
Journal: Methodist Debakey Cardiovasc J Date: 2020 Oct-Dec

Review 2. Artificial Intelligence in Cardiovascular Medicine.

Authors: Karthik Seetharam; Sirish Shrestha; Partho P Sengupta
Journal: Curr Treat Options Cardiovasc Med Date: 2019-05-14

Review 3. Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council.

Authors: Partho P Sengupta; Sirish Shrestha; Béatrice Berthon; Emmanuel Messas; Erwan Donal; Geoffrey H Tison; James K Min; Jan D'hooge; Jens-Uwe Voigt; Joel Dudley; Johan W Verjans; Khader Shameer; Kipp Johnson; Lasse Lovstakken; Mahdi Tabassian; Marco Piccirilli; Mathieu Pernot; Naveena Yanamala; Nicolas Duchateau; Nobuyuki Kagiyama; Olivier Bernard; Piotr Slomka; Rahul Deo; Rima Arnaout
Journal: JACC Cardiovasc Imaging Date: 2020-09

Machine Learning for Data-Driven Discovery: The Rise and Relevance.

1. Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model.

2. The rise and fall of machine learning methods in biomedical research.

Review 1. Artificial Intelligence and Machine Learning in Cardiovascular Imaging.

Review 2. Artificial Intelligence in Cardiovascular Medicine.

Review 3. Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council.

Review 4. Artificial Intelligence: Practical Primer for Clinical Research in Cardiovascular Disease.

Review 5. Artificial Intelligence Advancements in the Cardiovascular Imaging of Coronary Atherosclerosis.

Review 6. Applications of Machine Learning in Cardiology.