Early prediction of heart disease with data analysis using supervised learning with stochastic gradient boosting

Early prediction of heart disease with data analysis using supervised learning with stochastic gradient boosting

Abstract Heart diseases are consistently ranked among the top causes of mortality on a global scale. Early detection and accurate heart disease prediction can help effectively manage and prevent the disease. However, the traditional methods have failed to improve heart disease classification perform...

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Bibliographic Details
Main Authors: Anil Pandurang Jawalkar, Pandla Swetcha, Nuka Manasvi, Pakki Sreekala, Samudrala Aishwarya, Potru Kanaka Durga Bhavani, Pendem Anjani
Format: Article
Language:English
Published: SpringerOpen 2023-10-01
Series:Journal of Engineering and Applied Science
Subjects:
Heart disease
Machine learning
Decision tree
Random forest
Stochastic gradient boosting
Loss optimization
Online Access:https://doi.org/10.1186/s44147-023-00280-y

Internet

https://doi.org/10.1186/s44147-023-00280-y

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