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- W3011346706 abstract "The World Health Organization estimates that annually, there are 17.5 million deaths due to cardiovascular-related diseases and the number of patients accumulates. This study aims to apply some AI technologies to the system of cardiovascular diagnosis, to provide a solution for building information channels so that people have an overview of cardiovascular pathology. With this approach, people can have self-diagnosis, classification of cardiovascular pathology and know how to plan the examination and treatment to achieve better outcomes. In this paper, the system is built by using reasoning algorithm combined with supervised learning to carry the diagnosis process through the collection of symptoms. The study was experimented on data collected directly from the medical records at General Hospital of Binh Duong Province, and the experimental results show that the accuracy of diagnosis is over 75% compared to the actual diagnostic results." @default.
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- W3011346706 date "2019-12-01" @default.
- W3011346706 modified "2023-10-17" @default.
- W3011346706 title "Developing the New Proposal of Intelligence System in Heart and Cardiovascular Diagnosis" @default.
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- W3011346706 doi "https://doi.org/10.1109/nics48868.2019.9023903" @default.
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