A novel framework for multiple disease prediction in telemedicine systems using deep learning

Telemedicine systems are gaining popularity due to their ability to provide remote medical services. These systems produce a lot of data, which may be used for a variety of purposes, including quality improvement, decision-making, and predictive analytics. Deep learning is an effective data mining m...

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Autores principales:	Divya R. Unnithan, J. R. Jeba
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Taylor & Francis Group 2024-07-01
Colección:	Automatika
Materias:	Telehealth system telemedicine system data mining techniques clustering clustering techniques classification techniques
Acceso en línea:	https://www.tandfonline.com/doi/10.1080/00051144.2024.2301889
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