Kernel random forest with black hole optimization for heart diseases prediction using data fusion

In recent years, the Internet of Things has played a dominant role in various real-time problems and given solutions via sensor signals. Monitoring the patient health status of Internet of Medical Things (IoMT) facilitates communication between wearable sensor devices and patients through a wireless...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Ala Saleh Alluhaidan, Mashael Maashi, Noha Negm, Shoayee Dlaim Alotaibi, Ibrahim R. Alzahrani, Ahmed S. Salama
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	PeerJ Inc. 2024-11-01
Schriftenreihe:	PeerJ Computer Science
Schlagworte:	Black hole optimization algorithm IoMT Sensor signals Kernel random forest
Online-Zugang:	https://peerj.com/articles/cs-2364.pdf
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!