Asynchronous Federated Learning for Improved Cardiovascular Disease Prediction Using Artificial Intelligence

Healthcare professionals consider predicting heart disease an essential task and deep learning has proven to be a promising approach for achieving this goal. This research paper introduces a novel method called the asynchronous federated deep learning approach for cardiac prediction (AFLCP), which c...

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Detalles Bibliográficos
Autores principales: Khan, Muhammad Amir, Alsulami, Musleh, Yaqoob, Muhammad Mateen, Alsadie, Deafallah, Saudagar, Abdul Khader Jilani, AlKhathami, Mohammed, Farooq Khattak, Umar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377760/
https://www.ncbi.nlm.nih.gov/pubmed/37510084
http://dx.doi.org/10.3390/diagnostics13142340

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377760/
https://www.ncbi.nlm.nih.gov/pubmed/37510084
http://dx.doi.org/10.3390/diagnostics13142340

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