- Title
- A NEURAL NETWORK APPROACH TO PREDICTING OUTCOMES IN HEART FAILURE USING CARDIOPULMONARY EXERCISE TESTING
- Creators
- Ross ArenaJonathan N MyersCesar Roberto de SouzaAudrey Borghi SilvaMarco GuazziPaul ChaseDaniel BensimhonMary Ann PeberdyEuan AshleyErin WestLawrence CahalinDaniel Forman
- Publication Details
- Journal of the American College of Cardiology, Vol.61(10), pp.E1415-E1415
- Academic Unit
- Miller School of Medicine; UMMG Dept of Physical Therapy
- Language
- English
- Resource Type
- Journal article
- Record Identifier
- 991031561609702976
Journal article
A NEURAL NETWORK APPROACH TO PREDICTING OUTCOMES IN HEART FAILURE USING CARDIOPULMONARY EXERCISE TESTING
Journal of the American College of Cardiology, Vol.61(10), pp.E1415-E1415
2013-03
Metrics
13 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.206 Models of Computation
- 4.206.1046 Self Testing
- Web Of Science research areas
- Cardiac & Cardiovascular Systems
- ESI research areas
- Clinical Medicine
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites